LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation | Paper Citation Record

Observation dab783c2-d499-4f91-8e7a-381d0e4ea443 · outbound

This paper cites Vehicle- to-everything (v2x) services supported by lte-based systems and 5g,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Vehicle- to-everything (v2x) services supported by lte-based systems and 5g,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:46:40.847600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9372c08f-202b-482f-bb5b-8ed9967a4d0b · outbound

This paper cites Challenges and solutions for cellular based v2x communications,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Challenges and solutions for cellular based v2x communications,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:46:40.787972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fb719626-4347-4098-b26d-cfe3a67b032b · outbound

This paper cites Classification of c-its services in vehicular environments,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Classification of c-its services in vehicular environments,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:46:40.728582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2dbee1c6-6095-45ae-a80b-f0e23c557d24 · outbound

This paper cites Motiontrack: end-to-end transformer-based multi-object tracking with lidar-camera fusion,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Motiontrack: end-to-end transformer-based multi-object tracking with lidar-camera fusion,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:46:40.659067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e8b17eca-332a-4d73-8b18-118ca9ed0884 · outbound

This paper cites Track- former: Multi-object tracking with transformers,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Track- former: Multi-object tracking with transformers,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T14:46:37.937022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6ee2987-f30e-41f6-aaa5-acb7aafacacc · outbound

This paper cites Motr: End-to-end multiple-object tracking with transformer,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Motr: End-to-end multiple-object tracking with transformer,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T14:46:37.948133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78686c5c-e09e-4754-b491-05bbe2bc2714 · outbound

This paper cites Tracking objects as points,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Tracking objects as points,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T14:46:37.965972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27352283-163b-4d03-b8f1-4caed86f71e2 · outbound

This paper cites Center-based 3d object detection and tracking,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Center-based 3d object detection and tracking,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T14:46:37.981128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6e37b5f-eb37-4053-b050-f96257d216bd · outbound

This paper cites V2x-seq: A large-scale sequential dataset for vehicle-infrastructure cooperative perception and forecasting,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation V2x-seq: A large-scale sequential dataset for vehicle-infrastructure cooperative perception and forecasting,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T14:46:37.988237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfe06c04-bd2c-47ba-8810-d5671a991c60 · outbound

This paper cites Resource allocation modes in c-v2x: from lte-v2x to 5g-v2x,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Resource allocation modes in c-v2x: from lte-v2x to 5g-v2x,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:46:40.489787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d90dd4a0-99b7-4179-9357-b3869ab3eb6c · outbound

This paper cites Integrated sensing and communications (isac) for vehicular communication networks (vcn),.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Integrated sensing and communications (isac) for vehicular communication networks (vcn),

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T14:46:38.007920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b47b6eab-e688-4cda-bddb-590eec623c81 · outbound

This paper cites A study on v2i based cooperative autonomous driving,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation A study on v2i based cooperative autonomous driving,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:46:40.425366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e10efa02-7bb6-4665-af89-f37acf4870d1 · outbound

This paper cites Integrated sensing and communications: Recent advances and ten open challenges,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Integrated sensing and communications: Recent advances and ten open challenges,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T14:46:38.031445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4216c17-e0b8-400e-852e-641f194f579d · outbound

This paper cites Cooper: Cooperative perception for connected autonomous vehicles based on 3d point clouds,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Cooper: Cooperative perception for connected autonomous vehicles based on 3d point clouds,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T14:46:38.040243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42b3a0d0-6516-4f4c-afc9-520b9a625602 · outbound

This paper cites Learning distilled collaboration graph for multi-agent perception,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Learning distilled collaboration graph for multi-agent perception,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T14:46:38.059450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e3a9679-26eb-41df-9da2-3b62eee2f82d · outbound

This paper cites Opv2v: An open benchmark dataset and fusion pipeline for perception with vehicle-to- vehicle communication,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Opv2v: An open benchmark dataset and fusion pipeline for perception with vehicle-to- vehicle communication,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:46:40.284212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f567d167-43b1-4613-a61d-32796ffb531f · outbound

This paper cites F-cooper: Feature based cooperative perception for autonomous vehicle edge computing system using 3d point clouds,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation F-cooper: Feature based cooperative perception for autonomous vehicle edge computing system using 3d point clouds,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:46:40.251076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 38ffb164-ece7-48d6-a38d-51e55dc967b3 · outbound

This paper cites V2vnet: Vehicle-to-vehicle communication for joint percep- tion and prediction,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation V2vnet: Vehicle-to-vehicle communication for joint percep- tion and prediction,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:46:40.193989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a53a937b-aa3c-4b87-9e8d-cfc4b7029064 · outbound

This paper cites Coopernaut: End-to- end driving with cooperative perception for networked vehicles,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Coopernaut: End-to- end driving with cooperative perception for networked vehicles,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T14:46:38.096332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 049c5cc9-7566-4564-afe7-e33812b05a0c · outbound

This paper cites How2comm: Communication-efficient and collaboration- pragmatic multi-agent perception,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation How2comm: Communication-efficient and collaboration- pragmatic multi-agent perception,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:46:40.088808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 31617cf9-981b-4c0c-93a0-31e4b4946f09 · outbound

This paper cites V2x-vit: Vehicle-to-everything cooperative perception with vision transformer,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation V2x-vit: Vehicle-to-everything cooperative perception with vision transformer,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T14:46:38.118241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa2e474f-05a9-427b-9ebf-e6f6e922e5a8 · outbound

This paper cites Flow-based feature fusion for vehicle-infrastructure cooperative 3d object detection,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Flow-based feature fusion for vehicle-infrastructure cooperative 3d object detection,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:46:40.033846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5727eca4-1dd6-4511-bdc2-932c87d954b7 · outbound

This paper cites Leveraging Temporal Contexts to Enhance Vehicle-Infrastructure Cooperative Perception.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Leveraging Temporal Contexts to Enhance Vehicle-Infrastructure Cooperative Perception

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:46:39.104692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 78a28cc6-c055-4473-add0-94726026977e · outbound

This paper cites Learning Cooperative Trajectory Representations for Motion Forecasting.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Learning Cooperative Trajectory Representations for Motion Forecasting

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T14:46:38.143692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9472dd1-1189-4d68-80ab-77dfe8a44c11 · outbound

This paper cites Mutr3d: A multi- camera tracking framework via 3d-to-2d queries,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Mutr3d: A multi- camera tracking framework via 3d-to-2d queries,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T14:46:38.153946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9af536d-5139-4802-87d6-410e9b81c4c9 · outbound

This paper cites Motrv2: Bootstrapping end-to-end multi-object tracking by pretrained object detectors,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Motrv2: Bootstrapping end-to-end multi-object tracking by pretrained object detectors,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T14:46:38.159446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18e3a445-fca2-42bd-a837-1b29cc0f906b · outbound

This paper cites MOTRv3: Release-Fetch Supervision for End-to-End Multi-Object Tracking.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation MOTRv3: Release-Fetch Supervision for End-to-End Multi-Object Tracking

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T14:46:38.168377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b1083ec-5026-4203-83ba-859228c82e7c · outbound

This paper cites Sparse4D v3: Advancing End-to-End 3D Detection and Tracking.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Sparse4D v3: Advancing End-to-End 3D Detection and Tracking

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T14:46:38.176821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbf6da04-060c-4fca-8439-c1a60b0d27f7 · outbound

This paper cites End-to-end 3d tracking with decoupled queries,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation End-to-end 3d tracking with decoupled queries,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:46:39.924941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c399ef7e-892e-4e5c-8a93-105afe1e34d3 · outbound

This paper cites Hydro-3d: Hybrid object detection and tracking for cooperative perception using 3d lidar,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Hydro-3d: Hybrid object detection and tracking for cooperative perception using 3d lidar,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:46:39.889272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cced8f77-66a8-4399-9e9f-b2c7ee601b51 · outbound

This paper cites Collab- orative multi-object tracking with conformal uncertainty propagation,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Collab- orative multi-object tracking with conformal uncertainty propagation,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T14:46:38.217412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60d43412-19c4-46ce-b146-87f32ffb1da7 · outbound

This paper cites V2x- sim: Multi-agent collaborative perception dataset and benchmark for autonomous driving,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation V2x- sim: Multi-agent collaborative perception dataset and benchmark for autonomous driving,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T14:46:38.225763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20ecc933-933a-44c9-b748-0cf2c1554c33 · outbound

This paper cites Cooperative 3d multi-object tracking for connected and automated vehicles with complementary data association,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Cooperative 3d multi-object tracking for connected and automated vehicles with complementary data association,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:46:39.740908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4fe27ca6-9548-4f91-bf71-1e3a5ac91650 · outbound

This paper cites Probabilis- tic 3d multi-object cooperative tracking for autonomous driving via differentiable multi-sensor kalman filter,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Probabilis- tic 3d multi-object cooperative tracking for autonomous driving via differentiable multi-sensor kalman filter,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:46:39.695162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7806866f-612d-4b3b-a4d9-b23169986a91 · outbound

This paper cites V2v4real: A real-world large-scale dataset for vehicle-to-vehicle cooperative perception,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation V2v4real: A real-world large-scale dataset for vehicle-to-vehicle cooperative perception,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:46:39.654026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1ae0393c-2194-42ac-8853-0fd3706f6850 · outbound

This paper cites Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T14:46:38.283575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5802d9d-8378-43d6-9a4b-c0973d409eac · outbound

This paper cites BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T14:46:38.291874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9403f319-ebbb-4623-b47f-eb58df533e42 · outbound

This paper cites Bevdepth: Acquisition of reliable depth for multi-view 3d object detec- tion,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Bevdepth: Acquisition of reliable depth for multi-view 3d object detec- tion,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T14:46:38.299442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3024932b-ac1c-431e-b789-419bd6ae2c44 · outbound

This paper cites Bevstereo: Enhancing depth estimation in multi-view 3d object detection with temporal stereo,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Bevstereo: Enhancing depth estimation in multi-view 3d object detection with temporal stereo,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:46:39.561334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d6e20cf0-8447-4be9-9543-2f670308c4f0 · outbound

This paper cites Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:46:39.504267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b5b8bdcc-debd-428c-bb26-f2bdd9d2c3b8 · outbound

This paper cites Simple- bev: What really matters for multi-sensor bev perception?.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Simple- bev: What really matters for multi-sensor bev perception?

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:46:39.474557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7cc4f136-1540-428c-9cc9-2133160a475d · outbound

This paper cites Fast-bev: A fast and strong bird’s-eye view perception baseline,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Fast-bev: A fast and strong bird’s-eye view perception baseline,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T14:46:38.356745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 201f4dc9-80e0-4b74-a368-b42a10cb48b9 · outbound

This paper cites Matrixvt: Efficient multi- camera to bev transformation for 3d perception,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Matrixvt: Efficient multi- camera to bev transformation for 3d perception,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:46:39.393385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b954fd0d-66d5-4ea4-b80e-f0bba083834d · outbound

This paper cites Is-fusion: Instance-scene collaborative fusion for multimodal 3d object detection,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Is-fusion: Instance-scene collaborative fusion for multimodal 3d object detection,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-12T14:46:38.380783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3763e69c-62f3-435b-9845-e62723d5ee64 · outbound

This paper cites Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-12T14:46:38.387977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4d44034-2b40-4f62-90de-e330ab2b0798 · outbound

This paper cites FusionFormer: A Multi-sensory Fusion in Bird's-Eye-View and Temporal Consistent Transformer for 3D Object Detection.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation FusionFormer: A Multi-sensory Fusion in Bird's-Eye-View and Temporal Consistent Transformer for 3D Object Detection

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T14:46:38.394421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31a2e362-bc4d-4106-ad93-8af703662f2e · outbound

This paper cites Uniformer: Unifying convolution and self-attention for visual recogni- tion,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Uniformer: Unifying convolution and self-attention for visual recogni- tion,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T14:46:38.402005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09f21062-cdcb-4118-ba9d-6027a58a3464 · outbound

This paper cites Planning-oriented autonomous driving,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Planning-oriented autonomous driving,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T14:46:38.414349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4969b2b1-e7cc-443a-896d-94234cde9a08 · outbound

This paper cites GraphAD: Interaction Scene Graph for End-to-end Autonomous Driving.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation GraphAD: Interaction Scene Graph for End-to-end Autonomous Driving

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T14:46:38.433890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d01a7497-f968-4248-813f-e047c1c63d52 · outbound

This paper cites FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous Driving.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous Driving

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T14:46:38.441888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4edaf08d-d176-43f3-a16b-c244309e7ebe · outbound

This paper cites SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-12T14:46:38.455914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07ec7b84-9866-4d6d-86bc-e843eb3e7903 · outbound

This paper cites End-to-End Autonomous Driving through V2X Cooperation.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation End-to-End Autonomous Driving through V2X Cooperation

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T14:46:38.480861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5f58ff5-41ef-4a87-b76b-719c8c476044 · outbound

This paper cites Pointpillars: Fast encoders for object detection from point clouds,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Pointpillars: Fast encoders for object detection from point clouds,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T14:46:38.491167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a69eee38-0458-4cb6-bcfb-a8dbd7bed722 · outbound

This paper cites QUEST: Query Stream for Practical Cooperative Perception.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation QUEST: Query Stream for Practical Cooperative Perception

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:46:38.623702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 685e9fa4-f3e1-4812-ac13-bfade3dcff1f · outbound

This paper cites Transiff: An instance-level feature fusion framework for vehicle-infrastructure cooperative 3d detection with trans- formers,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Transiff: An instance-level feature fusion framework for vehicle-infrastructure cooperative 3d detection with trans- formers,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:46:39.253501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 00db6aa5-0bc5-4767-8a29-b4adfeedab5d · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation nuscenes: A multimodal dataset for autonomous driving,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-12T14:46:38.524276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae8ec155-f0be-481b-b6d2-4ccd508eb76f · outbound

This paper cites Vision meets robotics: The kitti dataset,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Vision meets robotics: The kitti dataset,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T14:46:38.530691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88d56270-ecb6-4d3d-9e63-5e921dfb8616 · outbound

This paper cites 3d multi-object tracking: A baseline and new evaluation metrics,.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation 3d multi-object tracking: A baseline and new evaluation metrics,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:46:39.140366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers