Pith. sign in

Paper Citation Record · LEDGER

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety

As of 7 August 2026, this Paper Citation Record lists 100 of 107 outbound references and 0 inbound Pith citation observations for arXiv:2509.00624.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2509.00624 v1

Coverage vector

measured 100 of 107 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:30:06.228759Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 107 outbound references displayed

  • verified exact42
  • verified fuzzy0
  • unresolved49
  • parse uncertain0
  • malformed identifier5
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eb4b75c8-58da-4ab9-82c8-7b0604f74e69 · outbound

This paper cites Geneva: World Health Organization, 2015.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Geneva: World Health Organization, 2015

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T13:29:56.099642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:29:56.099642Z digest=sha256:6b19a60d6aec5bccbb50527685889d3d806aafa2943d60aa218d13560b14f314

Observation 6833fbba-98d9-43b9-85a9-4aeace35a6a0 · outbound

This paper cites Investigating the Role of Roadway Environment in Driving Errors: An on Road Study,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Investigating the Role of Roadway Environment in Driving Errors: An on Road Study,

Reference 2

Resolution
verified exact
doi, observed 2026-08-05T13:30:11.448925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:29:56.224663Z digest=sha256:3f7443381bfb8fe63798293528791de17dc1a5b8728f9aa32fb9d55191ddebcc

Observation f18e4cf8-861e-4e64-ab62-f715525626aa · outbound

This paper cites Relationship between Infrastructure, Driver Error, and Critical Incidents,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Relationship between Infrastructure, Driver Error, and Critical Incidents,

Reference 3

Resolution
verified exact
doi, observed 2026-08-05T13:30:11.419685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:29:56.362913Z digest=sha256:8d873b42dbdd5b52ff66e9afc390588e12e096769750c32ca1ae6c751cdf3ed3

Observation 1cf705c0-06ba-476d-8889-9ec363a3e44b · outbound

This paper cites State Estimation and Motion Prediction of Vehicles and Vulnerable Road Users for Cooperative Autonomous Driving: A Survey,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety State Estimation and Motion Prediction of Vehicles and Vulnerable Road Users for Cooperative Autonomous Driving: A Survey,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T13:29:56.487985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:29:56.487985Z digest=sha256:8a226387481428208453615cb5bcf3e902da3421348914f5b62787ff1efa3344

Observation 8c9ec8cc-10cb-49d0-b4da-a794db594a4b · outbound

This paper cites Review of tracking and object detection systems for advanced driver assistance and autonomous driving applications with focus on vulnerable road users sensing,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Review of tracking and object detection systems for advanced driver assistance and autonomous driving applications with focus on vulnerable road users sensing,

Reference 5

Resolution
verified exact
doi, observed 2026-08-05T13:30:11.397387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:29:56.704383Z digest=sha256:7b7526f79f0d2730590feb6e6c9e28bfa78b8e74e0e03ea23875a53ea2c16015

Observation 43914a5b-84ad-4bca-a24c-4a5012af2b9b · outbound

This paper cites Predicting Pedestrian Crossing Intention With Feature Fusion and Spatio- Temporal Attention,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Predicting Pedestrian Crossing Intention With Feature Fusion and Spatio- Temporal Attention,

Reference 6

Resolution
malformed identifier
no resolver link, observed 2026-08-05T13:29:56.824857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:29:56.824857Z digest=sha256:f3cae4dc3c2d5b5da80a8bd72911594e2d92c711119fe7e72dc7a25bc97a316b

Observation 15e872ce-1483-48a4-a7d2-724c077c2dc7 · outbound

This paper cites Faraway- Frustum: Dealing with Lidar Sparsity for 3D Object Detection using Fusion,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Faraway- Frustum: Dealing with Lidar Sparsity for 3D Object Detection using Fusion,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T13:29:56.901841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:29:56.901841Z digest=sha256:0c19e3cb0704818882b7623e0f3ffb6023f712549a24f4d18f322f5e650de84a

Observation c9d7633f-6bb8-4624-8867-e675ee7e8ca7 · outbound

This paper cites Trajectory planning framework for autonomous vehicles based on collision injury prediction for vulnerable road users,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Trajectory planning framework for autonomous vehicles based on collision injury prediction for vulnerable road users,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T13:29:57.070952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:29:57.070952Z digest=sha256:d4fbf26b470d13ad3d76b8c5b142822ca82ccd222c546ba7d56acd27f3a4f185

Observation b2645136-2587-407a-8ec0-f11959ba4513 · outbound

This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Rich feature hierarchies for accurate object detection and semantic segmentation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-05T13:29:57.211261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:29:57.211261Z digest=sha256:a6aeb03df1e288c1483452b5f62786980d3f04e6aeca0bb7643c592a9cb9b57c

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T13:29:57.312902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:29:57.312902Z digest=sha256:6c95ef5bc6a21d48e3f628006466a20ca7ccc809fe28682c65bc7d7481615b26

Observation 3807bf2c-3786-4935-8cb0-8c8e16f87197 · outbound

This paper cites Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T13:29:57.381253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:29:57.381253Z digest=sha256:1a7c08358f28fddeccc996442ba35bbe1d3ea0806d7218f7ed526c72dc2a2da4

Observation c02ad9cf-a432-4de7-96de-5cb33af82b42 · outbound

This paper cites Sparse R-CNN: End-to-End Object Detection with Learnable Proposals.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Sparse R-CNN: End-to-End Object Detection with Learnable Proposals

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-05T13:29:57.475225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:29:57.475225Z digest=sha256:7b1dfc3240f1e1f1008b106e17973a9eb5ed296cc061b337eb2f054bb6dc170c

Observation f1734c53-9135-4179-b252-b876e8e0a481 · outbound

This paper cites You Only Look Once: Unified, Real-Time Object Detection.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety You Only Look Once: Unified, Real-Time Object Detection

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-05T13:29:57.553113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:29:57.553113Z digest=sha256:7e57e537e19f41cf1fa1fd733be7d934f851baf7b7d9ab9ef2f2392a4a5a54a1

Observation 32fbba88-f787-4a97-a71d-36c7ca1d7642 · outbound

This paper cites YOLOv8-CB: Dense Pedestrian Detection Algorithm Based on In- Vehicle Camera,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety YOLOv8-CB: Dense Pedestrian Detection Algorithm Based on In- Vehicle Camera,

Reference 14

Resolution
verified exact
doi, observed 2026-08-05T13:30:11.267712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:29:57.628605Z digest=sha256:09cdbfab824c032877e5bd98c5fbb3e15bc984e7f70d85d171ec955ccdda0aa8

Observation 34dc6592-7fed-48b3-9ec9-2143aca1e0e3 · outbound

This paper cites Laser Scanners for Driver-Assistance Systems in Intelligent 78 Vehicles [Applications of Control],.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Laser Scanners for Driver-Assistance Systems in Intelligent 78 Vehicles [Applications of Control],

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T13:29:57.776773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:29:57.776773Z digest=sha256:282277b898fdfcb4af6b2c59d1f23260dd10cf752dc2e9f3b47c9d441311fb53

Observation 56c58406-f8a4-4b37-a3e4-58141a2b5fa7 · outbound

This paper cites Lidar Data Analysis for Time to Headway Determination in the DriveSafe Project Field Tests,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Lidar Data Analysis for Time to Headway Determination in the DriveSafe Project Field Tests,

Reference 16

Resolution
verified exact
doi, observed 2026-08-05T13:30:11.242660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:29:57.926412Z digest=sha256:e362e370a245362b26b7a3b1eecded158a7046a0b84d4219d58869f1e9d7fe74

Observation ba420e7d-5683-4cc5-b47f-30404cd9685c · outbound

This paper cites Vulnerable Road User Safety Using Mobile Phones with Vehicle-to-VRU Communication,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Vulnerable Road User Safety Using Mobile Phones with Vehicle-to-VRU Communication,

Reference 17

Resolution
verified exact
doi, observed 2026-08-05T13:30:11.207443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:29:58.041602Z digest=sha256:cdde2e23c8b5cc60122f6aa66f22d8a7a179dca87030747e21236207476125c5

Observation 75cd7003-5d18-4069-acf7-767e97f52236 · outbound

This paper cites PointPillars: Fast Encoders for Object Detection from Point Clouds.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety PointPillars: Fast Encoders for Object Detection from Point Clouds

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T13:29:58.184501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:29:58.184501Z digest=sha256:989780c4ed13defc51e80db7a5f8cc8dce1cbfe8dabf05c731737c15e39b4867

Observation 5f5700c1-b2f4-49e6-9e97-f389b2de5cf3 · outbound

This paper cites CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:30:11.157634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:29:58.311279Z digest=sha256:ad2a378a7cf4f86770771abe4ac23bcab87b1ff853e78d95525cc4aaa0592697

Observation bdf18901-4db0-4676-b8b5-847d4fa27011 · outbound

This paper cites V2X Communication between Connected and Automated Vehicles (CA Vs) and Unmanned Aerial Vehicles (UA Vs),.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety V2X Communication between Connected and Automated Vehicles (CA Vs) and Unmanned Aerial Vehicles (UA Vs),

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-05T13:29:58.541081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:29:58.541081Z digest=sha256:472f43ef2f3b3ab46700b58d47a63ebf1cb40180a63273f86eccbdbabe76e36a

Observation 8248518d-49ff-421c-be77-95820fdc0371 · outbound

This paper cites Visual Object Detection Based LiDAR Point Cloud Classification,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Visual Object Detection Based LiDAR Point Cloud Classification,

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T13:29:58.698135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:29:58.698135Z digest=sha256:f6ab7291de5da442fc5bb9431a47646195666e2e1da01889e15dced1724f5aed

Observation 76de95d8-b593-43b3-aa2a-4d5123a48d4c · outbound

This paper cites 3D Object Detection Based on LiDAR Data,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety 3D Object Detection Based on LiDAR Data,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-05T13:29:58.809414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:29:58.809414Z digest=sha256:a83685cffcf8dae2e30b912dfd6d0af9d34cbe51bcbdbf48f57fc6210ec29e13

Observation 1975784c-1ca5-40df-89d8-ece9fddf1a8d · outbound

This paper cites A LiDAR–Camera Fusion 3D Object Detection Algorithm,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety A LiDAR–Camera Fusion 3D Object Detection Algorithm,

Reference 24

Resolution
verified exact
doi, observed 2026-08-05T13:30:11.077861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:29:58.901317Z digest=sha256:e050db454b5f82bcda80c8556f9f72096156872e6e128b35588039d2f94cfd0d

Observation 5f00942a-6996-4ed1-9f0b-4a63d8a4d4c0 · outbound

This paper cites LiDAR -Based Intensity- Aware Outdoor 3D Object Detection,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety LiDAR -Based Intensity- Aware Outdoor 3D Object Detection,

Reference 25

Resolution
verified exact
doi, observed 2026-08-05T13:30:11.051920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:29:59.032663Z digest=sha256:6f674209cf94437bcf57fdc3fd778c5a49c595b63837d7efd0765d38fe5fc633

Observation 31d27818-4e29-4f24-ab44-94fd66c8cad8 · outbound

This paper cites A Spatio -Temporal Graph Transformer Network for Multi -Pedestrain Trajectory Prediction | IEEE Conference Publication | IEEE Xplore.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety A Spatio -Temporal Graph Transformer Network for Multi -Pedestrain Trajectory Prediction | IEEE Conference Publication | IEEE Xplore

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T13:29:59.156487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:29:59.156487Z digest=sha256:940199fcf840540f49a11921f3ca3aa40e42ffd71dfcd788a74f16f648e5d864

Observation a3cf5e70-2203-4b23-9350-953932d0462c · outbound

This paper cites Jocher, A.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Jocher, A

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-05T13:29:59.272993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:29:59.272993Z digest=sha256:6d31bcf9f919a346a28cf3226889e349ebffbe4c6ec693cb1c83c634d714fb5a

Observation 3fffc165-96ad-4de5-81a3-189545eb5b3f · outbound

This paper cites CARLA - v20 carla_v20,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety CARLA - v20 carla_v20,

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T13:29:59.369595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:29:59.369595Z digest=sha256:945a514ba20bae205dc77d18d6453f4202d8d45538330e1859609aec99543773

Observation 6396fb16-0b0c-4e06-b838-c898da0636a1 · outbound

This paper cites Guvenc, B.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Guvenc, B

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-05T13:29:59.466884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:29:59.466884Z digest=sha256:711e10472ab48f22b293ed4b6e8bd7b2680e85df4ba6566ae54174298378f3e0

Observation a2fafad0-5998-4b28-9fad-cff2242a3df1 · outbound

This paper cites Disturbance Observer- Smith Predictor Compensation-Based Platoon Control with Estimation Deviation,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Disturbance Observer- Smith Predictor Compensation-Based Platoon Control with Estimation Deviation,

Reference 30

Resolution
verified exact
doi, observed 2026-08-05T13:30:11.024740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:29:59.561668Z digest=sha256:926bab8a75f07cbc09729b4d68f30a42de29835fcfe392d55a78ef315bc54a68

Observation 29bc7f91-9b49-47b2-9358-feda2167f3d0 · outbound

This paper cites Path Planning and Robust Path Tracking Control of an Automated Parallel Parking Maneuver,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Path Planning and Robust Path Tracking Control of an Automated Parallel Parking Maneuver,

Reference 31

Resolution
verified exact
doi, observed 2026-08-05T13:30:10.993989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:29:59.693605Z digest=sha256:35a50b698239567ebb1cc217f269899512540fa28b8a5f7ad09b7ade9ef3c26c

Observation 89a9532b-c0b5-4fbb-85ac-04a6b9e7b197 · outbound

This paper cites Oscillatory Yaw Motion Control for Hydraulic Power Steering Articulated Vehicles Considering the Influence of Varying Bulk Modulus,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Oscillatory Yaw Motion Control for Hydraulic Power Steering Articulated Vehicles Considering the Influence of Varying Bulk Modulus,

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-05T13:29:59.812130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:29:59.812130Z digest=sha256:775e65014210bfdbb4606309f5f264fce5b217dfe4a0cecc3605ac46b93ea93d

Observation 73b4fea1-9856-44d0-8bed-0f413c0c6f9a · outbound

This paper cites an unresolved cited work.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Unresolved cited work

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-05T13:29:59.935183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:29:59.935183Z digest=sha256:a79f1d8fdeac8ebcd8fafcd627bd95523ca73607a088ab5f044cac2c8bb18170

Observation a958b574-c86f-4f78-ab9c-6ea0b5fa6d43 · outbound

This paper cites an unresolved cited work.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Unresolved cited work

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:00.069991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:00.069991Z digest=sha256:be63562e874baa4a943a755b6d069151f372a217388c403c05e331a2af7e994a

Observation d9c6ecfe-7a37-4ea6-a454-45c6e3247ad6 · outbound

This paper cites Communication Disturbance Observer,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Communication Disturbance Observer,

Reference 35

Resolution
verified exact
doi, observed 2026-08-05T13:30:10.944736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:30:00.173890Z digest=sha256:45b09dca2a2b880836637469d0bbbfb51409f53a294a00ae9d86601f8138a153

Observation 87b56fb0-ff81-4c35-be9f-eb00dd4df3bd · outbound

This paper cites Multi-Objective Digital PID Controller Design in Parameter Space and its Application to Automated Path Following,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Multi-Objective Digital PID Controller Design in Parameter Space and its Application to Automated Path Following,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:00.293396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:00.293396Z digest=sha256:6efc156373be1b42f14731858fd647bd0868b182c79f7bebaf77e4b5d74918c1

Observation 0f448df9-6bcd-4177-884b-083008aa81bc · outbound

This paper cites Development and Evaluation of Path and Speed Profile Planning and Tracking Control for an Autonomous Shuttle Using a Realistic, Virtual Simulation Environment,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Development and Evaluation of Path and Speed Profile Planning and Tracking Control for an Autonomous Shuttle Using a Realistic, Virtual Simulation Environment,

Reference 37

Resolution
verified exact
doi, observed 2026-08-05T13:30:10.866436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:30:00.384884Z digest=sha256:f7bcece3fde92743982724bc13370a94bbab181336d96a923108ef1f436cb515

Observation e02f7811-9fe9-4be7-a595-c64e5f997132 · outbound

This paper cites Trajectory Planning of Autonomous Vehicles Based on Parameterized Control Optimization in Dynamic on-Road Environments,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Trajectory Planning of Autonomous Vehicles Based on Parameterized Control Optimization in Dynamic on-Road Environments,

Reference 38

Resolution
verified exact
doi, observed 2026-08-05T13:30:10.667407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:30:00.488197Z digest=sha256:2715521bb3ae3d230a09679db0310d4ec21394506f61a86479fc317fedde9aea

Observation 056e4551-e7c0-40dd-97a0-3ce1b970f839 · outbound

This paper cites Localization and Perception for Control and Decision Making of a Low Speed Autonomous Shuttle in a Campus Pilot Deployment,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Localization and Perception for Control and Decision Making of a Low Speed Autonomous Shuttle in a Campus Pilot Deployment,

Reference 39

Resolution
verified exact
doi, observed 2026-08-05T13:30:10.435735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:30:00.606117Z digest=sha256:218dbf66adfad722de5953a39e0940e19e6284aa34238d25bb99917e6f0374a5

Observation 6db4fdda-7d29-482f-8722-50f7cb920e5e · outbound

This paper cites SmartShuttle: a unified, scalable and replicable approach to connected and automated driving in a smart city,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety SmartShuttle: a unified, scalable and replicable approach to connected and automated driving in a smart city,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:00.772812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:00.772812Z digest=sha256:8a480abbe1c4c3e76a6c4541703ff5f37d601ef7fbb1c0a6c7af10d63b40c17c

Observation 12eca66c-d659-49a1-a9d6-7baa9ecbf21c · outbound

This paper cites Connected and Autonomous Vehicles,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Connected and Autonomous Vehicles,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:00.871418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:00.871418Z digest=sha256:4ba7ee37a0d1c3b9564d382f3427b9e661e5db2f22629d458de08b4715651f94

Observation db751db8-38bc-4244-9072-c21b5a5c506b · outbound

This paper cites Socially Acceptable Collision Avoidance System for Vulnerable Road Users,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Socially Acceptable Collision Avoidance System for Vulnerable Road Users,

Reference 42

Resolution
verified exact
doi, observed 2026-08-05T13:30:10.236218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:30:01.004100Z digest=sha256:e26dd7d9576ae48832d60f217afbeed212bb5b264c51fea6c82a09bf4fb657fa

Observation bb9d43f4-4e32-4b6f-b0de-e8361bb6774b · outbound

This paper cites General Obstacle Avoidance Capability Assessment for Autonomous Vehicles,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety General Obstacle Avoidance Capability Assessment for Autonomous Vehicles,

Reference 43

Resolution
verified exact
doi, observed 2026-08-05T13:30:10.119082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:30:01.106225Z digest=sha256:446a2e49987f2d71f47ec336a37be5a1981675c0b63649b722ba8a251f8faa51

Observation 842df4d1-e56f-42e7-8ab5-0e5774358654 · outbound

This paper cites Autonomous Vehicle Emergency Obstacle Avoidance Maneuver Framework at Highway Speeds,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Autonomous Vehicle Emergency Obstacle Avoidance Maneuver Framework at Highway Speeds,

Reference 44

Resolution
verified exact
doi, observed 2026-08-05T13:30:09.956312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:30:01.205930Z digest=sha256:4cbfeb3c7d39d12dd1c7bd75511903a3ca28c21ac3da06f30a387641934e5e6f

Observation 8e4ae3a8-d6b1-46b5-8da0-6921537e39b1 · outbound

This paper cites Vehicle -in-Virtual- Environment (VVE) Method for Autonomous Driving System Development, Evaluation and Demonstration,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Vehicle -in-Virtual- Environment (VVE) Method for Autonomous Driving System Development, Evaluation and Demonstration,

Reference 46

Resolution
verified exact
doi, observed 2026-08-05T13:30:09.365845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:30:01.381101Z digest=sha256:2af5efbc7ae1b5dd63ef777fedbf1fc7546c8e2705ebb6e76b3bfac5bd607fe0

Observation 23b1ee93-16d4-40d6-b7a9-5c6d1c90442b · outbound

This paper cites Control barrier function based quadratic programs with application to adaptive cruise control,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Control barrier function based quadratic programs with application to adaptive cruise control,

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:01.497471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:01.497471Z digest=sha256:420b46c1f59399185437430a04d019370e816b591cde375d0521dc6b677a5ffc

Observation ef16c837-6797-4c1a-a69c-d78ceb4ebcef · outbound

This paper cites Control Barrier Function Based Quadratic Programs for Safety Critical Systems,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Control Barrier Function Based Quadratic Programs for Safety Critical Systems,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:01.642900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:01.642900Z digest=sha256:cf2a26da3b114d73ee651e68268c7edab0f3706761bf4a5e5587e0ac7615ed63

Observation 3134cc1a-365e-49d9-a1f1-bf01519cf04b · outbound

This paper cites Control Barrier Functions: Theory and Applications,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Control Barrier Functions: Theory and Applications,

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:01.750291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:01.750291Z digest=sha256:4770f8ab01ad6563182be14e4d28e67954a864193a8c56eca968097031809bd7

Observation 48e882cc-b304-4237-afa6-ec3e8fa9aa8e · outbound

This paper cites Safety Barrier Certificates for Collisions -Free Multirobot Systems,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Safety Barrier Certificates for Collisions -Free Multirobot Systems,

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:01.909033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:01.909033Z digest=sha256:d2c80a87dd64ec8f2c71d91ec8f022867e2c9d1b8037f5e545a7532d5bdf6160

Observation b8b1d3fe-9bea-402b-a2f5-07e3e5ecd8c9 · outbound

This paper cites CLF-CBF Based Quadratic Programs for Safe Motion Control of Nonholonomic Mobile Robots in Presence of Moving Obstacles,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety CLF-CBF Based Quadratic Programs for Safe Motion Control of Nonholonomic Mobile Robots in Presence of Moving Obstacles,

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:02.011623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:02.011623Z digest=sha256:144f0e155418469783d6ecb1f4d88835c3aba4b9b92215520cd6d2850f686bf6

Observation 29c74c01-fac3-4f7f-9e8c-db2b322c455e · outbound

This paper cites Safe Autonomous Multi-vehicle Navigation Using Path Following Control and Spline-Based Barrier Functions,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Safe Autonomous Multi-vehicle Navigation Using Path Following Control and Spline-Based Barrier Functions,

Reference 52

Resolution
malformed identifier
no resolver link, observed 2026-08-05T13:30:02.226836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:02.226836Z digest=sha256:68b53fa25585c20f7067dfc0f996d168c311b04aa73d09554792f9ba7d57c74d

Observation 006a2087-dab9-48d4-83ab-0e22d782ca6f · outbound

This paper cites an unresolved cited work.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Unresolved cited work

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:02.117673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:02.117673Z digest=sha256:6da2cec39ec44df4a9c23dd29cad52fc8ed10f3c71e8e3e90b8c8920de046354

Observation 278395f4-2124-4874-9f1e-895dbaedfd2e · outbound

This paper cites Safety -Critical Path Planning of Autonomous Surface Vehicles Based on Rapidly-Exploring Random Tree Algorithm and High Order Control Barrier Functions,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Safety -Critical Path Planning of Autonomous Surface Vehicles Based on Rapidly-Exploring Random Tree Algorithm and High Order Control Barrier Functions,

Reference 54

Resolution
verified exact
raw_fallback, observed 2026-08-05T13:30:13.313048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:30:02.486409Z digest=sha256:98408f7f29ff6ce0c989467b7e9e2b2c18b4c59292a06efab5153b2494eca504

Observation f4880724-18a8-4519-be54-160e9a531dd5 · outbound

This paper cites Sampling-based Motion Planning via Control Barrier Functions,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Sampling-based Motion Planning via Control Barrier Functions,

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:02.389942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:02.389942Z digest=sha256:d7316c75ef20424857cf37cece060f3aed43e5b020ab9509ab807e8efa5e84d3

Observation e7a7bb9f-6fd7-422b-9442-0c9f4736e117 · outbound

This paper cites Potential Game-Based Decision-Making for Autonomous Driving.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Potential Game-Based Decision-Making for Autonomous Driving

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:30:08.762833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:30:02.701863Z digest=sha256:3405036629f65f7f2b0afb53604ee8a655ebc10c1548de8aa41a458c8e2faf0b

Observation 7bae5381-8867-4585-a478-41822cfbfabb · outbound

This paper cites Rule-Based Safety-Critical Control Design using Control Barrier Functions with Application to Autonomous Lane Change.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Rule-Based Safety-Critical Control Design using Control Barrier Functions with Application to Autonomous Lane Change

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:30:09.091625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:30:02.589186Z digest=sha256:1df38501e7e5ff6d4c4f7a79fc235aab8f94a3a2f5d5aa5a5cd00f97d38682e2

Observation c6553f1f-c77d-4ec5-aaa7-92dbe8125330 · outbound

This paper cites Autonomous Vehicle Lane -Change Control Based on Model Predictive Control with Control Barrier Function,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Autonomous Vehicle Lane -Change Control Based on Model Predictive Control with Control Barrier Function,

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:02.861644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:02.861644Z digest=sha256:f03abfb0336ad8874fb4f06c3606a3fd75af684fe5c16df4388aad6cc8837af6

Observation e179f6b7-8b59-4cfe-bd23-049a1cafca65 · outbound

This paper cites A Novel Online Safe Reinforcement Learning with Control Barrier Function Technique for Autonomous vehicles,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety A Novel Online Safe Reinforcement Learning with Control Barrier Function Technique for Autonomous vehicles,

Reference 59

Resolution
verified exact
raw_fallback, observed 2026-08-05T13:30:13.207666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:30:02.784725Z digest=sha256:f100095ec1dfc0c296a806913de9ccc600cb7ed9efdb1e71b38c5ab474461065

Observation 5d9a8a02-f79b-4d69-b25e-623a59e21494 · outbound

This paper cites High- Order Control Barrier Functions,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety High- Order Control Barrier Functions,

Reference 60

Resolution
metadata mismatch
raw_fallback, observed 2026-08-05T13:30:12.986551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:30:03.116653Z digest=sha256:fac60f411b63e918faa417a4ed51fbeb592f0762bb1bd73fd3669118903437d5

Observation d053ebbb-25d8-4314-b063-093dd121f122 · outbound

This paper cites Safety-Critical Control and Planning for Obstacle Avoidance between Polytopes with Control Barrier Functions.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Safety-Critical Control and Planning for Obstacle Avoidance between Polytopes with Control Barrier Functions

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:30:08.483572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:30:02.988731Z digest=sha256:afe4594b77217fa82e781aca77fe8fa789bb645e37492b25a6df062a60d9c495

Observation b3df0ce2-61fd-42ec-8eba-9c377a0aea13 · outbound

This paper cites Real time implementation of socially acceptable collision avoidance of a low speed autonomous shuttle using the elastic band method,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Real time implementation of socially acceptable collision avoidance of a low speed autonomous shuttle using the elastic band method,

Reference 62

Resolution
verified exact
doi, observed 2026-08-05T13:30:08.004630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:30:03.261602Z digest=sha256:55a029cee188bb3ee1b1b2ab81309ebda35ab511d63a16a89ca9307a91859aad

Observation 4921a8ae-b94d-4447-966f-bfac7df8ee93 · outbound

This paper cites High-Order Control Lyapunov–Barrier Functions for Real-Time Optimal Control of Constrained Non- Affine Systems,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety High-Order Control Lyapunov–Barrier Functions for Real-Time Optimal Control of Constrained Non- Affine Systems,

Reference 63

Resolution
verified exact
doi, observed 2026-08-05T13:30:08.217977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:30:03.179579Z digest=sha256:80020668e22592e96d42a99fc1ed3494668ade6f76461f35c51e49fe236c519b

Observation f0e1d11a-418a-4a4a-b0a5-6c4ecfea507d · outbound

This paper cites Lunar Rover Collaborated Path Planning with Artificial Potential Field -Based Heuristic on Deep Reinforcement Learning,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Lunar Rover Collaborated Path Planning with Artificial Potential Field -Based Heuristic on Deep Reinforcement Learning,

Reference 64

Resolution
verified exact
doi, observed 2026-08-05T13:30:07.917008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:30:03.485370Z digest=sha256:e5104fec115fff80cb702e8855594162f2c6a33779ca7c39b4b0f5acf14a5a49

Observation 06517b94-dfcb-4cf5-9ad8-a08aa5395f0a · outbound

This paper cites Development of a Collision Avoidance Algorithm Using Elastic Band Theory,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Development of a Collision Avoidance Algorithm Using Elastic Band Theory,

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:03.368722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:03.368722Z digest=sha256:a51c92fdf2781370ae62e00a1bc7fad34010c77af24ba25376857f79c4f03fe3

Observation eb82c954-159e-4b82-8ebc-d66385290fda · outbound

This paper cites Path Planning and Robust Control of Autonomous Vehicles,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Path Planning and Robust Control of Autonomous Vehicles,

Reference 66

Resolution
verified exact
raw_fallback, observed 2026-08-05T13:30:12.676574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:30:03.681021Z digest=sha256:5d64787f72f6d647e23e74570f29bfaf0eb84c483b27aab8858a16162d569736

Observation 10e16402-9ba2-4c93-97ad-369763ea613d · outbound

This paper cites Spatio-Temporal Planning in Multi-Vehicle Scenarios for Autonomous Vehicle Using Support Vector Machines,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Spatio-Temporal Planning in Multi-Vehicle Scenarios for Autonomous Vehicle Using Support Vector Machines,

Reference 67

Resolution
malformed identifier
no resolver link, observed 2026-08-05T13:30:03.598803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:03.598803Z digest=sha256:d01d31ae4c47987cc46f087f7403d5004ca956a748558d68f0ae8bc37df9f5e7

Observation 3e23992a-1d2f-469b-bc3a-ab721a6663cc · outbound

This paper cites Deep Reinforcement Learning for Autonomous Driving: A Survey,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Deep Reinforcement Learning for Autonomous Driving: A Survey,

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:03.837658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:03.837658Z digest=sha256:f1f0bdd36187d6e5128617d0a02e31410431c402291fa751135568a09ceaf775

Observation 42a8e186-2967-4b97-bc56-7f1619caaeaf · outbound

This paper cites Emergency Obstacle Avoidance Trajectory Planning Method of Intelligent Vehicles Based on Improved Hybrid A*,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Emergency Obstacle Avoidance Trajectory Planning Method of Intelligent Vehicles Based on Improved Hybrid A*,

Reference 69

Resolution
verified exact
doi, observed 2026-08-05T13:30:07.838321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:30:03.765644Z digest=sha256:0cadc4c1a8335f8b53ab86646f4219f5facc1bc828bd5c2e6b100ea3777e3e92

Observation 9eaf0fb2-9997-47f5-a658-b0fbda7476bb · outbound

This paper cites A Survey of Deep RL and IL for Autonomous Driving Policy Learning,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety A Survey of Deep RL and IL for Autonomous Driving Policy Learning,

Reference 70

Resolution
metadata mismatch
raw_fallback, observed 2026-08-05T13:30:12.326511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:30:04.038441Z digest=sha256:b7a33dd019a1f6454247f96d0bb2e3a9d329bbdb71317bab9777f17f7b451ea7

Observation cd713a4d-b6da-4fa9-af48-f74b0384b4d7 · outbound

This paper cites A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles,

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:03.955924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:03.955924Z digest=sha256:b387ca1abafd3f475592d386e847a5d1857b7905f2b1b0a0e88bc28c5a82719b

Observation 04a88edd-3ba2-41a0-afcc-ba713b886e53 · outbound

This paper cites Integrating Deep Reinforcement Learning with Model-based Path Planners for Automated Driving.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Integrating Deep Reinforcement Learning with Model-based Path Planners for Automated Driving

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:04.228896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:04.228896Z digest=sha256:636ee12f6fa191a04d398c744849a9c38286c8b9abc7da47a29e8dfbd321c941

Reference 73

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:30:07.785852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:30:04.134957Z digest=sha256:420a516838f62b99acfd656c5bb4e444dd51728b6c71a022701617257a72e3fd

Observation 51213373-1599-4718-9d74-01072a645564 · outbound

This paper cites Deep reinforcement‐learning‐based driving policy for autonomous road vehicles - Makantasis - 2020 - IET Intelligent Transport Systems - Wiley Online Library.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Deep reinforcement‐learning‐based driving policy for autonomous road vehicles - Makantasis - 2020 - IET Intelligent Transport Systems - Wiley Online Library

Reference 74

Resolution
verified exact
raw_fallback, observed 2026-08-05T13:30:12.183866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:30:04.399513Z digest=sha256:1722eac05a4e691fb6fa6a7c7136a8c2898e4d587bab4e6a736e4d8651ab4c59

Observation 537cdfa3-3213-4b55-8f13-6064fa975acb · outbound

This paper cites A Safety-Critical Decision-Making and Control Framework Combining Machine-Learning-Based and Rule-Based Algorithms,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety A Safety-Critical Decision-Making and Control Framework Combining Machine-Learning-Based and Rule-Based Algorithms,

Reference 75

Resolution
verified exact
doi, observed 2026-08-05T13:30:07.685672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:30:04.315462Z digest=sha256:367d7c0a431f8f33a5dfddf172e629dec0c11bec62a07e7c1d5aea116ee40ae2

Observation 0981aee7-aaf8-49b3-8d6d-59f9de4b3515 · outbound

This paper cites Autonomous Highway Driving using Deep Reinforcement Learning,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Autonomous Highway Driving using Deep Reinforcement Learning,

Reference 76

Resolution
metadata mismatch
raw_fallback, observed 2026-08-05T13:30:12.066374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:30:04.600617Z digest=sha256:8b51a4ec9e5d96f0e244fb84c09468ea7748297beed20ddc187051c094b7dcfb

Observation 05aea908-b12c-4960-9bec-e131112377b7 · outbound

This paper cites Reinforced Damage Minimization in Critical Events for Self-driving Vehicles:,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Reinforced Damage Minimization in Critical Events for Self-driving Vehicles:,

Reference 77

Resolution
verified exact
doi, observed 2026-08-05T13:30:07.615899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:30:04.508397Z digest=sha256:0cbb47f3accf32b89f562e1a1eabe202b1a675c338ff6e7b2be2913a8eadbf9f

Observation c6c24c1e-41cd-4ab3-8fb4-5b061f13930f · outbound

This paper cites Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving

Reference 78

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:30:07.481287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:30:04.694843Z digest=sha256:d48f9889095302598db4efd188d6e3f583a7f1439f95ea018b44af905912a55b

Observation 6c3f1b94-c2e2-4457-b1a5-173c0915c04c · outbound

This paper cites End- to-End Autonomous Driving Through Dueling Double Deep Q - Network,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety End- to-End Autonomous Driving Through Dueling Double Deep Q - Network,

Reference 79

Resolution
malformed identifier
doi_truncated, observed 2026-08-05T13:30:07.550282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:30:04.658903Z digest=sha256:f9ce0da162df25aab2daaa4928d2333b9672ac2a2034405d12e1d9912990f39f

Observation 5cbbc5f8-d502-4e96-b7b7-1f28a623684f · outbound

This paper cites Deep reinforcement learning for autonomous vehicles: lane keep and overtaking scenarios with collision avoidance,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Deep reinforcement learning for autonomous vehicles: lane keep and overtaking scenarios with collision avoidance,

Reference 80

Resolution
verified exact
doi, observed 2026-08-05T13:30:07.322406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:30:04.855362Z digest=sha256:c9cfe78e47dfee0afdcd7da163c68de96ecdbe3150427f2e897636c8732fc7ca

Observation 1bc9d875-d901-4bf8-bc4d-89e849ac7aa8 · outbound

This paper cites End-to-End Race Driving with Deep Reinforcement Learning.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety End-to-End Race Driving with Deep Reinforcement Learning

Reference 81

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:30:07.406597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:30:04.790071Z digest=sha256:8b6d31089b68c0c16e735f80f4b9daf4563580ba4a5c5ddd6ad5d977158ea73f

Observation e79abd1b-856f-4fe5-a742-4eb53f3a9aec · outbound

This paper cites Towards Safe Load Balancing based on Control Barrier Functions and Deep Reinforcement Learning.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Towards Safe Load Balancing based on Control Barrier Functions and Deep Reinforcement Learning

Reference 82

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:30:07.242762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:30:05.082360Z digest=sha256:cf96a38bc9b6ad5d0c113e634f17886f89368a5e1e0a6db745b75d883bd82e6d

Observation e43ef6c1-bb56-48d0-b55f-89f55eb7e7ec · outbound

This paper cites Deep Reinforcement Learning-Based Driving Strategy for Avoidance of Chain Collisions and Its Safety Efficiency Analysis in Autonomous Vehicles,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Deep Reinforcement Learning-Based Driving Strategy for Avoidance of Chain Collisions and Its Safety Efficiency Analysis in Autonomous Vehicles,

Reference 83

Resolution
metadata mismatch
raw_fallback, observed 2026-08-05T13:30:11.956195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:30:04.966629Z digest=sha256:5d65b831331bb16da7e9d761b8c334396ebceb852c076ec7166232d297fc59dc

Observation 7e03efcf-6d7b-440a-ade3-75222339f5e3 · outbound

This paper cites Deep -Reinforcement-Learning- Based Collision Avoidance of Autonomous Driving System for Vulnerable Road User Safety,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Deep -Reinforcement-Learning- Based Collision Avoidance of Autonomous Driving System for Vulnerable Road User Safety,

Reference 84

Resolution
verified exact
doi, observed 2026-08-05T13:30:09.627137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:30:05.262749Z digest=sha256:937ba0a5d29602dbeab1d6b60ac849378b49f4a13f78d07e51ed52917c882d44

Observation 174d3db6-a780-476c-aa48-c7690648aeda · outbound

This paper cites an unresolved cited work.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Unresolved cited work

Reference 85

Resolution
verified exact
doi, observed 2026-08-05T13:30:07.171951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:30:05.169449Z digest=sha256:0b226d385abee7895365ffcbce50bb846696e5123dde1f9d03c5254404d5a2d9

Observation da12a763-0931-4a73-8e70-5107699c940f · outbound

This paper cites Optimization of On- Demand Shared Autonomous Vehicle Deployments Utilizing Reinforcement Learning,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Optimization of On- Demand Shared Autonomous Vehicle Deployments Utilizing Reinforcement Learning,

Reference 86

Resolution
verified exact
doi, observed 2026-08-05T13:30:06.905924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:30:05.459172Z digest=sha256:be521c91f792b8cfbea3c48145f5c53efd9f32f2b1f1f4b6afe3ada494814ce6

Observation f08214d2-892d-41a2-88ac-3124d5abba0f · outbound

This paper cites Contact -Aware Safety in Soft Robots Using High- Order Control Barrier and Lyapunov Functions,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Contact -Aware Safety in Soft Robots Using High- Order Control Barrier and Lyapunov Functions,

Reference 87

Resolution
verified exact
doi, observed 2026-08-05T13:30:07.079735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:30:05.357376Z digest=sha256:b58d09aefe12ce50fc3fd284335f60e6beef0bf917f8971fcab6a5e586de826e

Observation f66b05e1-9094-4e7d-b581-2a2e363224fe · outbound

This paper cites Q-learning,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Q-learning,

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:05.633646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:05.633646Z digest=sha256:6fd5f20aa572834805c50c860bc8b66b5fcb30e675776b32317da44964a3e1e8

Observation 3686d57f-0b1d-4974-8ab4-cb6828ed269b · outbound

This paper cites Autonomous Vehicle Decision- Making with Policy Prediction for Handling a Round Intersection,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Autonomous Vehicle Decision- Making with Policy Prediction for Handling a Round Intersection,

Reference 89

Resolution
verified exact
doi, observed 2026-08-05T13:30:06.828401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:30:05.584031Z digest=sha256:5eca3e74486abca6086a51ca25be5d378a24e6345a10c637e1538bc2083cc500

Observation 951df8c2-d057-431d-a50c-7ad071f500a1 · outbound

This paper cites Human-level control through deep reinforcement learning,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Human-level control through deep reinforcement learning,

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:05.719153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:05.719153Z digest=sha256:a6ebb807193e892d38a8cd7e1084ffb96731ae1cdd38856a736f611ea89cc08c

Observation 728e3bd0-f947-44dc-9fe5-af05fa94553c · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Playing Atari with Deep Reinforcement Learning

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:05.683118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:05.683118Z digest=sha256:80a6150f56f012c7fc47384ae3c8cc69a9a79f665c31dec7c1879361852e751f

Observation d9d45893-440d-4930-bb0b-7b4c117ebc31 · outbound

This paper cites Dueling Network Architectures for Deep Reinforcement Learning.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Dueling Network Architectures for Deep Reinforcement Learning

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:05.836139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:05.836139Z digest=sha256:66713cae095caff6b0cb5a9c22a69468ff98fc92e82bd33a151ccaedf1eb39a6

Observation d15de7d6-296b-4e10-ba06-ebe256046c7b · outbound

This paper cites Deep Reinforcement Learning with Double Q-learning.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Deep Reinforcement Learning with Double Q-learning

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:05.776137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:05.776137Z digest=sha256:7ae9df71cf0a395af6aaee524145851af93d36f30442144c96cb199a5cd44a19

Observation a45bad1d-7522-44ec-b6ea-25bcc8f6ee1e · outbound

This paper cites Policy Gradient Methods for Reinforcement Learning with Function Approximation,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Policy Gradient Methods for Reinforcement Learning with Function Approximation,

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:05.918771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:05.918771Z digest=sha256:c48263addacd51e624201f25ef1fd663e1a4151182d40f87bfe0a756278f3abf

Observation 8cebd191-4837-46d6-9dfd-c9c94f2fc97a · outbound

This paper cites Simple statistical gradient- following algorithms for connectionist reinforcement learning,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Simple statistical gradient- following algorithms for connectionist reinforcement learning,

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:05.879673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:05.879673Z digest=sha256:ba0aabcbd0d2a3899af26b6c09d828762fe41b984753c32479768e3206a44321

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:06.028275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:06.028275Z digest=sha256:248773f5d1079694ca598386226566b511d78bc788c696b631dcb33b9c667dd0

Observation 5c76b908-f463-42d1-9255-92feef361b61 · outbound

This paper cites Asynchronous Methods for Deep Reinforcement Learning.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Asynchronous Methods for Deep Reinforcement Learning

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:05.954112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:05.954112Z digest=sha256:170c5ac5c6994c1d62083bdbaa0b434e2b26619373b3beb3b7e7d2d1fd201426

Observation 08e40889-e487-4297-9dbf-b764e800224b · outbound

This paper cites Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:06.100258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:06.100258Z digest=sha256:460de66750a623e506acf4b6c79673414ea8817b9c02a251b37e34c71a6fd26c

Observation ea73c508-e5ec-4fc6-b72e-349bf1a6f962 · outbound

This paper cites Continuous control with deep reinforcement learning.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Continuous control with deep reinforcement learning

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:06.063170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:06.063170Z digest=sha256:1f156324e203db876c8d48c334d41811b21a5e71d665a8bc13faa0aca34ea099

Observation 1448a9a2-f76a-473e-b3c0-4dcc8413de0b · outbound

This paper cites Leurent, An Environment for Autonomous Driving Decision- Making.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Leurent, An Environment for Autonomous Driving Decision- Making

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:06.174505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:06.174505Z digest=sha256:04bc3035c604e9eea4caacc7e797cbf2cd82dcd06f1ce64fc800e9306a105804

Observation 1c5a5c76-4e37-4e54-8173-a6c83a95a1e9 · outbound

This paper cites Addressing Function Approximation Error in Actor-Critic Methods.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Addressing Function Approximation Error in Actor-Critic Methods

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:06.137532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:06.137532Z digest=sha256:b1d83d176b2f4e2505988efdc88f8246c2fefbc1835d6aeb2fdf1e84280d670b

Observation 0772ada3-8da4-45a7-8516-3cb8bfe3c6cc · outbound

This paper cites A Novel Integrated Simulation and Testing 84 Platform for Self-Driving Cars With Hardware in the Loop,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety A Novel Integrated Simulation and Testing 84 Platform for Self-Driving Cars With Hardware in the Loop,

Reference 102

Resolution
malformed identifier
no resolver link, observed 2026-08-05T13:30:06.228759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:06.228759Z digest=sha256:96dcab332add347493291a4ebf6c08899a3b4312d0b8906b1d66ce793d753660

Pith citing papers

No inbound Pith citation observations are available.