Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T11:21:21.326454Z
Paper Citation Record · LEDGER
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception
As of 21 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2509.02904.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
58 of 58 outbound references displayed
- verified exact7
- verified fuzzy46
- unresolved5
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 69747736-4dc7-4534-a7eb-1c41fdf6cf85 · outbound
This paper cites Phase diagram in multi-phase heterogeneous traffic flow model integrating the perceptual range difference under human-driven and connected vehicles environ- ment,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception Phase diagram in multi-phase heterogeneous traffic flow model integrating the perceptual range difference under human-driven and connected vehicles environ- ment,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:22.293360Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 180c4684-092c-4240-a7f6-ee3312e6a915 · outbound
This paper cites Vision meets robotics: The kitti dataset,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception Vision meets robotics: The kitti dataset,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:22.279992Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 086cb8d2-7fa2-454e-9b89-807080a39cc9 · outbound
This paper cites Scalability in perception for autonomous driving: Waymo open dataset,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception Scalability in perception for autonomous driving: Waymo open dataset,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:22.267231Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a8cfb246-6be0-4cbb-87c3-ecc82d234d59 · outbound
This paper cites Nuscenes: A multimodal dataset for autonomous driving,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception Nuscenes: A multimodal dataset for autonomous driving,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:22.255114Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 29f307e4-2194-4077-96ae-dcc310f78c0c · outbound
This paper cites Argov- erse: 3d tracking and forecasting with rich maps,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception Argov- erse: 3d tracking and forecasting with rich maps,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:22.242133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 4deec8d4-6428-4a17-a343-971be61cd549 · outbound
This paper cites A2D2: Audi Autonomous Driving Dataset.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception A2D2: Audi Autonomous Driving Dataset
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:21:15.129473Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aaaddbeb-7542-4a87-836c-2e941c188803 · outbound
This paper cites The h3d dataset for full-surround 3d multi-object detection and tracking in crowded urban scenes,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception The h3d dataset for full-surround 3d multi-object detection and tracking in crowded urban scenes,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:22.229603Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d853e3f2-dbc4-4f46-be0a-d146b4f3bb4b · outbound
This paper cites One Million Scenes for Autonomous Driving: ONCE Dataset.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception One Million Scenes for Autonomous Driving: ONCE Dataset
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:21:15.340751Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c266857d-fefb-4f4b-907c-15804cfb3c80 · outbound
This paper cites Pandaset: Advanced sensor suite dataset for autonomous driving,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception Pandaset: Advanced sensor suite dataset for autonomous driving,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:22.216665Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a73f20be-6db1-4409-8c80-d615e3f2e9a6 · outbound
This paper cites Ips300+: A challeng- ing multi-modal data sets for intersection perception system,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception Ips300+: A challeng- ing multi-modal data sets for intersection perception system,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:22.204249Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 3267d24e-22a1-4a85-a356-3fe80490a74a · outbound
This paper cites Lumpi: The leibniz university multi-perspective in- tersection dataset,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception Lumpi: The leibniz university multi-perspective in- tersection dataset,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:22.191552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f18b45fd-3fd2-41a9-885f-20d22d8762a0 · outbound
This paper cites Tumtraf intersection dataset: All you need for urban 3d camera-lidar roadside perception,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception Tumtraf intersection dataset: All you need for urban 3d camera-lidar roadside perception,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:22.178839Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c933be3e-b7b6-4eab-abb4-7be4d0bc6ad1 · outbound
This paper cites R-LiViT: A LiDAR-Visual-Thermal Dataset Enabling Vulnerable Road User Focused Roadside Perception.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception R-LiViT: A LiDAR-Visual-Thermal Dataset Enabling Vulnerable Road User Focused Roadside Perception
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T11:21:21.625547Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ae08a541-154c-4b2a-b5fc-bf78bf0861ae · outbound
This paper cites A9-dataset: Multi-sensor infrastructure-based dataset for mobility research,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception A9-dataset: Multi-sensor infrastructure-based dataset for mobility research,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:22.166585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c987528d-8ecd-4d2b-baba-afe4c8702f2b · outbound
This paper cites Rope3d: The roadside perception dataset for autonomous driving and monoc- ular 3d object detection task,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception Rope3d: The roadside perception dataset for autonomous driving and monoc- ular 3d object detection task,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:22.154441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 4acdfca0-2f01-4298-af7b-33cd1495b1a7 · outbound
This paper cites Dair-v2x: A large-scale dataset for vehicle-infrastructure cooperative 3d object detection,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception Dair-v2x: A large-scale dataset for vehicle-infrastructure cooperative 3d object detection,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:22.142202Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 8b0b639b-1a71-49de-939c-0eb7ce526879 · outbound
This paper cites V2x-real: A largs- scale dataset for vehicle-to-everything cooperative per- ception,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception V2x-real: A largs- scale dataset for vehicle-to-everything cooperative per- ception,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:22.130053Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 3c428ff1-6ce1-460e-a375-bffdb6b7cf07 · outbound
This paper cites BAAI-VANJEE Roadside Dataset: Towards the Connected Automated Vehicle Highway technologies in Challenging Environments of China.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception BAAI-VANJEE Roadside Dataset: Towards the Connected Automated Vehicle Highway technologies in Challenging Environments of China
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:21:16.532812Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 54a6641f-d64e-4c53-b54d-08b5a4b2193b · outbound
This paper cites V2v4real: A real-world large-scale dataset for vehicle-to-vehicle cooperative perception,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception V2v4real: A real-world large-scale dataset for vehicle-to-vehicle cooperative perception,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:22.117547Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation bba3d727-9a23-4fc8-a93b-61ecdc39b441 · outbound
This paper cites The highd dataset: A drone dataset of naturalistic vehicle trajectories on german highways for validation of highly automated driving systems,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception The highd dataset: A drone dataset of naturalistic vehicle trajectories on german highways for validation of highly automated driving systems,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:22.105144Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 4c30a1bf-cc3b-4cc7-9e07-8de2a75d9302 · outbound
This paper cites Choose your sim- ulator wisely: A review on open-source simulators for autonomous driving,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception Choose your sim- ulator wisely: A review on open-source simulators for autonomous driving,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:22.091986Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f38a35fe-7a46-4f39-8b07-979613019f66 · outbound
This paper cites Carla: An open urban driving simulator,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception Carla: An open urban driving simulator,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:22.079030Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ef112895-542f-4ee6-95fe-c760c1cd2a53 · outbound
This paper cites Team, Deepdrive: A simulator that allows anyone with a pc to push the state-of-the-art in self-driving , 2020.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception Team, Deepdrive: A simulator that allows anyone with a pc to push the state-of-the-art in self-driving , 2020
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:22.066303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b3134063-a65b-4007-910e-462c4e75ab71 · outbound
This paper cites Vista 2.0: An open, data-driven simulator for multimodal sensing and policy learning for autonomous vehicles,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception Vista 2.0: An open, data-driven simulator for multimodal sensing and policy learning for autonomous vehicles,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:22.054382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 3ee30d2e-8e05-4368-8d41-c223123c1fc1 · outbound
This paper cites How much real data do we actually need: Analyzing object detection performance using synthetic and real data.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception How much real data do we actually need: Analyzing object detection performance using synthetic and real data
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T11:21:21.590999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 96f3cf56-dd88-418d-b44a-33523307ff77 · outbound
This paper cites Lidar- sim: Realistic lidar simulation by leveraging the real world,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception Lidar- sim: Realistic lidar simulation by leveraging the real world,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:22.041911Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 29a6dbbc-6a19-43fe-85f1-dd1688224fd8 · outbound
This paper cites Performance of lidar object detection deep learning architectures based on artificially generated point cloud data from carla simula- tor,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception Performance of lidar object detection deep learning architectures based on artificially generated point cloud data from carla simula- tor,
Reference 27
- Resolution
- verified exact
- arxiv_id_nonexistent, observed 2026-08-05T11:21:21.572447Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation bedfc0ca-9371-4bb0-9b1a-3a83114ea4f1 · outbound
This paper cites A survey on deep domain adaptation for lidar per- ception,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception A survey on deep domain adaptation for lidar per- ception,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:22.029576Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation df0bfa49-c9f5-4bd8-9bb1-7c2cefd36e76 · outbound
This paper cites openstreetmap.org, 2017.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception openstreetmap.org, 2017
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:22.016039Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 9ddd964b-c42c-46ef-948d-3ab3613fe19b · outbound
This paper cites Seed: A simple and effective 3d detr in point clouds,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception Seed: A simple and effective 3d detr in point clouds,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:22.003472Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 39ce4c4e-7a47-4be9-94fb-7c2a76a4875d · outbound
This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:21:17.897743Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 320c1df0-6a29-4905-b141-3e01858bcb38 · outbound
This paper cites Shahbaz and S.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception Shahbaz and S
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:21.991224Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c6426b8c-4c82-49d7-8958-a77a8e1ce1a1 · outbound
This paper cites Shahbaz and S.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception Shahbaz and S
Reference 33
- Resolution
- verified exact
- doi, observed 2026-08-05T11:21:21.389711Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 7ea85036-f31c-4e82-9bf5-84c1a6486ed6 · outbound
This paper cites Shahbaz and S.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception Shahbaz and S
Reference 34
- Resolution
- verified exact
- doi, observed 2026-08-05T11:21:21.376133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation afe2e5d3-e828-4e2a-820e-3794641b44fa · outbound
This paper cites A theory of learning from different domains,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception A theory of learning from different domains,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:21.978633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 7b6045c5-140a-4f5b-b30d-2bca95dfa7b6 · outbound
This paper cites Train in germany, test in the usa: Making 3d object detectors gener- alize,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception Train in germany, test in the usa: Making 3d object detectors gener- alize,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:21.963911Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 49984492-5123-4a80-b9f8-8a57719acf96 · outbound
This paper cites See eye to eye: A lidar-agnostic 3d detection frame- work for unsupervised multi-target domain adaptation,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception See eye to eye: A lidar-agnostic 3d detection frame- work for unsupervised multi-target domain adaptation,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:21.947975Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a4eb9164-077f-482f-8ff4-918423df8879 · outbound
This paper cites Performance of lidar ob- ject detection deep learning architectures based on arti- ficially generated point cloud data from carla simulator,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception Performance of lidar ob- ject detection deep learning architectures based on arti- ficially generated point cloud data from carla simulator,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:21.933630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 807822e5-547f-43ca-a66a-eec12aff1fed · outbound
This paper cites Augmented lidar simulator for autonomous driving,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception Augmented lidar simulator for autonomous driving,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:21.916135Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b61d11ee-b3c4-4d08-92bb-e8d03a1d03ec · outbound
This paper cites A lidar point cloud generator: From a virtual world to autonomous driving,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception A lidar point cloud generator: From a virtual world to autonomous driving,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:21.898941Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 8f1f05c6-c268-4d35-b29d-937aea20517f · outbound
This paper cites Using simulation data from gaming environments for training a deep learning algo- rithm on 3d point clouds,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception Using simulation data from gaming environments for training a deep learning algo- rithm on 3d point clouds,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:21.884660Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation da37abc6-ae58-4727-8cae-6e63026fa758 · outbound
This paper cites Learning to simulate realistic lidars,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception Learning to simulate realistic lidars,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:21.870635Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 796428e6-ee0e-48f5-87d9-5d80692417b3 · outbound
This paper cites Lgsvl simulator: A high fidelity simulator for autonomous driving,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception Lgsvl simulator: A high fidelity simulator for autonomous driving,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:21.854983Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 991913a1-b5ab-4470-987e-76fe67dd9f8c · outbound
This paper cites Garchingsim: An autonomous driving simulator with photorealistic scenes and minimalist workflow,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception Garchingsim: An autonomous driving simulator with photorealistic scenes and minimalist workflow,
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:21.840129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e35bf6f3-5232-4f0e-a2f0-4b1a91190eb9 · outbound
This paper cites Devel- opment of high-fidelity automotive lidar sensor model with standardized interfaces,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception Devel- opment of high-fidelity automotive lidar sensor model with standardized interfaces,
Reference 45
- Resolution
- verified exact
- doi, observed 2026-08-05T11:21:21.362295Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 5821c489-4dd5-4e6c-abea-13593f6aeebe · outbound
This paper cites Squeeze- seg: Convolutional neural nets with recurrent crf for real-time road-object segmentation from 3d lidar point cloud,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception Squeeze- seg: Convolutional neural nets with recurrent crf for real-time road-object segmentation from 3d lidar point cloud,
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:21.825620Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 424bb65b-bc84-4cd1-ac4d-5e1b830a08ad · outbound
This paper cites Squeezesegv2: Improved model structure and unsuper- vised domain adaptation for road-object segmentation from a lidar point cloud,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception Squeezesegv2: Improved model structure and unsuper- vised domain adaptation for road-object segmentation from a lidar point cloud,
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:21.810726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 27754825-6350-499e-9505-c1f46473cb9d · outbound
This paper cites Epointda: An end- to-end simulation-to-real domain adaptation framework for lidar point cloud segmentation,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception Epointda: An end- to-end simulation-to-real domain adaptation framework for lidar point cloud segmentation,
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:21.794248Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 335c2110-b152-4b78-9024-6f3dc1864a93 · outbound
This paper cites Se- mantickitti: A dataset for semantic scene understanding of lidar sequences,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception Se- mantickitti: A dataset for semantic scene understanding of lidar sequences,
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:21.778933Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c1aa2218-e557-4a45-9735-8ac908796e1c · outbound
This paper cites CoLiGen: A unified generative framework for realistic lidar simulation in autonomous driving,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception CoLiGen: A unified generative framework for realistic lidar simulation in autonomous driving,
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:21.759969Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 46f89a55-614a-4a06-92b5-21e6e4f6001b · outbound
This paper cites St3d: Self-training for unsupervised domain adaptation on 3d object detection,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception St3d: Self-training for unsupervised domain adaptation on 3d object detection,
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:21.747020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 183b4f5b-a02b-41b9-9d0c-c100a89d67a8 · outbound
This paper cites Digital twin-assisted graph matching multi-task object detection method in complex traffic scenarios,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception Digital twin-assisted graph matching multi-task object detection method in complex traffic scenarios,
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:21.733591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 320e3640-441f-440d-a734-aaf5f983d780 · outbound
This paper cites Cross- dataset generalization: Bridging the gap between real and synthetic lidar data,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception Cross- dataset generalization: Bridging the gap between real and synthetic lidar data,
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:21.719271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d6ed8035-eec5-422b-a7ac-f991a08d507b · outbound
This paper cites Mi- croscopic traffic simulation using sumo,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception Mi- croscopic traffic simulation using sumo,
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:21.706118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 7960729f-31d5-4fe9-bd5f-3fd3fd5c9e65 · outbound
This paper cites The MathWorks, Roadrunner version: R2024b , Nat- ick, Massachusetts, United States, 2024.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception The MathWorks, Roadrunner version: R2024b , Nat- ick, Massachusetts, United States, 2024
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:21.693382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation df93f0a9-6075-4b6a-8cc5-73c48c6be86f · outbound
This paper cites an unresolved cited work.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception Unresolved cited work
Reference 56
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T11:21:21.680127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 9a736e54-b5b9-45da-87d1-68a257f955e8 · outbound
This paper cites V oxel- next: Fully sparse voxelnet for 3d object detection and tracking,.
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception V oxel- next: Fully sparse voxelnet for 3d object detection and tracking,
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:21:21.666743Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 52b64542-a730-4fd6-bc9d-677d7612cc58 · outbound
This paper cites [Online].
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception [Online]
Reference 2025
- Resolution
- verified exact
- doi, observed 2026-08-05T11:21:21.402712Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Pith citing papers
No inbound Pith citation observations are available.