To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software | Paper Citation Record

Observation 236212a4-0db8-4e36-9afc-277082ca3c52 · outbound

This paper cites Autoware on board: Enabling autonomous vehicles with embedded systems.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Autoware on board: Enabling autonomous vehicles with embedded systems

Reference 1

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Observation 363b6e99-6254-44ee-800b-f8b0f8b05760 · outbound

This paper cites Apollo: Open source autonomous driving plat- form.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Apollo: Open source autonomous driving plat- form

Reference 2

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Observation 15600cf8-20de-4b3e-a2ab-df0e7f27d91d · outbound

This paper cites Planning- oriented autonomous driving.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Planning- oriented autonomous driving

Reference 3

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Observation 724e97d7-6cda-4cf7-a4a1-cc482401e4c9 · outbound

This paper cites LingoQA: Visual Question Answering for Autonomous Driving.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software LingoQA: Visual Question Answering for Autonomous Driving

Reference 4

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Observation 7a0362ac-61d1-4aae-a8a3-617464623eb4 · outbound

This paper cites Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation

Reference 5

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Observation 4370484c-0a2d-461c-aa03-c9f2f2e01a07 · outbound

This paper cites Robustness-aware 3d object detection in autonomous driving: A review and outlook.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Robustness-aware 3d object detection in autonomous driving: A review and outlook

Reference 6

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Observation a360c8f9-0ed4-445e-914b-ecde3b0058a3 · outbound

This paper cites Scenario understanding and motion prediction for au- tonomous vehicles—review and comparison.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Scenario understanding and motion prediction for au- tonomous vehicles—review and comparison

Reference 7

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Observation 001e75e7-f9de-4bc8-92d2-ee4ce7f84fa8 · outbound

This paper cites 3D object detection for autonomous driving: A comprehensive survey.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software 3D object detection for autonomous driving: A comprehensive survey

Reference 8

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Observation c1239dd9-0627-4273-9c99-593fbd81c95d · outbound

This paper cites 3d object detection from images for autonomous driving: a survey.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software 3d object detection from images for autonomous driving: a survey

Reference 9

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Observation ca3263f0-0ded-4565-ad7c-737b9b05de2c · outbound

This paper cites Echoes beyond points: Unleashing the power of raw radar data in multi- modality fusion.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Echoes beyond points: Unleashing the power of raw radar data in multi- modality fusion

Reference 10

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Observation 189d85d1-c6a8-4d27-9a5f-c649eba15857 · outbound

This paper cites Multi- modal 3d object detection in autonomous driving: A survey and taxonomy.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Multi- modal 3d object detection in autonomous driving: A survey and taxonomy

Reference 11

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Observation d14ad2ba-5494-4e73-a03e-145765d3041d · outbound

This paper cites Radar-camera fusion for object detection and semantic segmentation in autonomous driving: A comprehensive review.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Radar-camera fusion for object detection and semantic segmentation in autonomous driving: A comprehensive review

Reference 12

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Observation 51f07275-4140-4561-b509-dc1e6bf3ae2f · outbound

This paper cites A review of lidar- based 3d object detection via deep learning approaches towards robust connected and autonomous vehicles.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software A review of lidar- based 3d object detection via deep learning approaches towards robust connected and autonomous vehicles

Reference 13

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Observation aede42fc-c208-47e7-9900-bbb4c53cd0e8 · outbound

This paper cites Multiple object tracking: A literature review.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Multiple object tracking: A literature review

Reference 14

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Observation ffd54eac-aa91-4777-84bc-207ffaaae949 · outbound

This paper cites Multiple object tracking in recent times: A literature review.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Multiple object tracking in recent times: A literature review

Reference 15

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Observation 338065d7-5056-4b4b-a9f5-b329f5ca3e88 · outbound

This paper cites A system- atic survey on recent deep learning-based approaches to multi-object tracking.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software A system- atic survey on recent deep learning-based approaches to multi-object tracking

Reference 16

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Observation 92c663b2-4e91-4384-89b8-fdd1946eb900 · outbound

This paper cites Multi-object tracking: a systematic literature review.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Multi-object tracking: a systematic literature review

Reference 17

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Observation 4d55317c-fb0f-42aa-b1fb-ba1594664d62 · outbound

This paper cites Data association in multiple object tracking: A survey of recent techniques.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Data association in multiple object tracking: A survey of recent techniques

Reference 18

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Observation 023072d8-7de6-4446-9d6a-e0c5b0a1e90b · outbound

This paper cites A review of tracking and trajectory prediction methods for autonomous driving.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software A review of tracking and trajectory prediction methods for autonomous driving

Reference 19

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Observation 8624d12d-a7c5-467c-8e1f-02ddac9cc2ea · outbound

This paper cites A survey on trajectory-prediction methods for autonomous driving.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software A survey on trajectory-prediction methods for autonomous driving

Reference 20

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Observation 0e6beeec-c955-44fa-a0ea-0826af9b9f9b · outbound

This paper cites Incorporating driving knowledge in deep learning based vehicle trajectory prediction: A survey.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Incorporating driving knowledge in deep learning based vehicle trajectory prediction: A survey

Reference 21

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Observation 2ff71263-1596-4ebe-b309-9f6a7a2c4e82 · outbound

This paper cites Machine learning for autonomous vehicle’s trajectory prediction: A comprehensive survey, challenges, and future research directions.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Machine learning for autonomous vehicle’s trajectory prediction: A comprehensive survey, challenges, and future research directions

Reference 22

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Observation 42cbe8b2-d933-4592-8ee4-04e39bdedd51 · outbound

This paper cites A review of deep learning-based vehicle motion prediction for au- tonomous driving.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software A review of deep learning-based vehicle motion prediction for au- tonomous driving

Reference 23

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Observation 87ad6495-a00c-4e8c-b836-9ebea31c77cd · outbound

This paper cites Evaluating pedestrian trajectory prediction methods with respect to autonomous driving.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Evaluating pedestrian trajectory prediction methods with respect to autonomous driving

Reference 24

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Observation d6edd7aa-24fa-4470-ae15-72004cccf2b7 · outbound

This paper cites Vision meets robotics: The kitti dataset.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Vision meets robotics: The kitti dataset

Reference 25

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Observation d959034c-558e-47ba-8dfc-bd2a458938b0 · outbound

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

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software nuscenes: A multimodal dataset for autonomous driving

Reference 26

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Observation f0ef7be8-fba7-4d7f-a1ba-23546da0f77a · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Scalability in perception for autonomous driving: Waymo open dataset

Reference 27

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Observation f84ed580-7045-4075-b2db-2b9c5fbe2043 · outbound

This paper cites Recent advancements in end-to-end autonomous driving using deep learning: A survey.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Recent advancements in end-to-end autonomous driving using deep learning: A survey

Reference 28

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Observation ccf3e4f8-36d8-4460-8c90-65f986c9290e · outbound

This paper cites A survey of end-to-end driving: Architectures and training methods.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software A survey of end-to-end driving: Architectures and training methods

Reference 29

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Observation 25fab7c5-3aca-4307-a17f-d1e2381b737e · outbound

This paper cites End-to-end Autonomous Driving using Deep Learning: A Systematic Review.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software End-to-end Autonomous Driving using Deep Learning: A Systematic Review

Reference 30

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Observation 3bb72785-137f-4ad3-b2cc-5154651b4423 · outbound

This paper cites End-to-end autonomous driving: Challenges and frontiers.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software End-to-end autonomous driving: Challenges and frontiers

Reference 31

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Observation 88eeb4b2-4bb7-4a50-80f5-6c3a38c37df6 · outbound

This paper cites End-to-End Autonomous Driving in CARLA: A Survey.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software End-to-End Autonomous Driving in CARLA: A Survey

Reference 32

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Observation 8a120fc3-7e5f-4a5e-b23e-eeec2972d1ea · outbound

This paper cites Joint Perception and Prediction for Autonomous Driving: A Survey.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Joint Perception and Prediction for Autonomous Driving: A Survey

Reference 33

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Observation 3a248231-feb9-4369-b9d1-92160bf3fd6c · outbound

This paper cites Memot: Multi-object tracking with memory.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Memot: Multi-object tracking with memory

Reference 34

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Observation bf83ab4f-4a25-4903-9ffb-b9458d77efa0 · outbound

This paper cites Tracking objects as points.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Tracking objects as points

Reference 35

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This paper cites Objects as Points.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Objects as Points

Reference 36

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This paper cites Tubetk: Adopting tubes to track multi-object in a one-step training model.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Tubetk: Adopting tubes to track multi-object in a one-step training model

Reference 37

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This paper cites Can spatiotempo- ral 3d cnns retrace the history of 2d cnns and imagenet? In Proceedings of the IEEE conference on Computer Vision and Pattern Recognition , pages 6546–6555, 2018.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Can spatiotempo- ral 3d cnns retrace the history of 2d cnns and imagenet? In Proceedings of the IEEE conference on Computer Vision and Pattern Recognition , pages 6546–6555, 2018

Reference 38

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This paper cites Learn- ing to track with object permanence.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Learn- ing to track with object permanence

Reference 39

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Observation 5dd84497-3d52-49a6-8e75-57bbe2d39a55 · outbound

This paper cites Tracking objects as pixel-wise distributions.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Tracking objects as pixel-wise distributions

Reference 40

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This paper cites Deep residual learning for image recognition.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Deep residual learning for image recognition

Reference 41

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This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 42

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This paper cites Flow- guided feature aggregation for video object detection.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Flow- guided feature aggregation for video object detection

Reference 43

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This paper cites Monocular quasi-dense 3d object tracking.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Monocular quasi-dense 3d object tracking

Reference 44

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This paper cites Faster r- cnn: Towards real-time object detection with region proposal networks.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Faster r- cnn: Towards real-time object detection with region proposal networks

Reference 45

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This paper cites Star-track: Latent motion models for end-to-end 3d object tracking with adaptive spatio-temporal appearance representations.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Star-track: Latent motion models for end-to-end 3d object tracking with adaptive spatio-temporal appearance representations

Reference 46

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This paper cites Detr3d: 3d object detection from 17 multi-view images via 3d-to-2d queries.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Detr3d: 3d object detection from 17 multi-view images via 3d-to-2d queries

Reference 47

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To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Center-based 3d object detection and tracking

Reference 48

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This paper cites V oxelnet: End-to-end learning for point cloud based 3d object detection.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software V oxelnet: End-to-end learning for point cloud based 3d object detection

Reference 49

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

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Pointpillars: Fast encoders for object detection from point clouds

Reference 50

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This paper cites Exploring simple 3d multi-object tracking for autonomous driving.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Exploring simple 3d multi-object tracking for autonomous driving

Reference 51

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This paper cites CenterTube: Tracking multiple 3D objects with 4D tubelets in dynamic point clouds.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software CenterTube: Tracking multiple 3D objects with 4D tubelets in dynamic point clouds

Reference 52

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This paper cites V oxelnext: Fully sparse voxelnet for 3d object detection and tracking.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software V oxelnext: Fully sparse voxelnet for 3d object detection and tracking

Reference 53

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This paper cites A Multi- Modal Fusion-Based 3D Multi-Object Tracking Framework with Joint Detection.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software A Multi- Modal Fusion-Based 3D Multi-Object Tracking Framework with Joint Detection

Reference 54

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Observation 6b477757-fa7f-4207-b694-7cdfa46fa9a6 · outbound

This paper cites Towards real-time multi-object tracking.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Towards real-time multi-object tracking

Reference 55

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This paper cites YOLOv3: An Incremental Improvement.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software YOLOv3: An Incremental Improvement

Reference 56

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Observation cffc0ade-d671-46c2-a01c-289787d54d08 · outbound

This paper cites Retina- track: Online single stage joint detection and tracking.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Retina- track: Online single stage joint detection and tracking

Reference 57

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Observation 99bb39d6-8bb2-46bd-8e33-40a558a7bef9 · outbound

This paper cites Multi-Object Tracking with Siamese Track-RCNN.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Multi-Object Tracking with Siamese Track-RCNN

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-08-05T14:47:26.114095Z

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Observation 3beacb95-8e34-46b3-8868-c3538e2627c6 · outbound

This paper cites Chained-tracker: Chaining paired attentive regression results for end-to- end joint multiple-object detection and tracking.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Chained-tracker: Chaining paired attentive regression results for end-to- end joint multiple-object detection and tracking

Reference 59

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Unavailable: canonical work link unavailable.

Observation be891e78-3cfe-450b-97d6-b132d6d0925d · outbound

This paper cites DEFT: Detection Embeddings for Tracking.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software DEFT: Detection Embeddings for Tracking

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.186359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 579f4163-3e7a-4f80-ad9a-807c996794a5 · outbound

This paper cites Fairmot: On the fairness of detection and re-identification in multiple object tracking.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Fairmot: On the fairness of detection and re-identification in multiple object tracking

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.192033Z

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Unavailable: canonical work link unavailable.

Observation 56e83950-33f8-487f-ad5c-6c067e88d639 · outbound

This paper cites Joint object detection and multi-object tracking with graph neural networks.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Joint object detection and multi-object tracking with graph neural networks

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.199194Z

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Observation c2ba4bac-123d-432d-a5cd-b7ec7aaefe16 · outbound

This paper cites Multiple object tracking with correlation learning.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Multiple object tracking with correlation learning

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.211067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a0b3b93-e89b-4f4e-b957-f4a1fe1523df · outbound

This paper cites Anchor-free person search.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Anchor-free person search

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.219806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cbeaa35-aec6-477d-9633-7bed21fe9520 · outbound

This paper cites Fcos: Fully convo- lutional one-stage object detection.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Fcos: Fully convo- lutional one-stage object detection

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.227094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fc9a7df-628a-4ea2-bef0-ac6ea78b6c41 · outbound

This paper cites Time3d: End-to-end joint monocular 3d object detection and tracking for autonomous driving.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Time3d: End-to-end joint monocular 3d object detection and tracking for autonomous driving

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.233954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 707a3512-4c19-4aba-8e54-de8210c85c4f · outbound

This paper cites Monocular 3d detection with geometric constraint embedding and semi-supervised training.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Monocular 3d detection with geometric constraint embedding and semi-supervised training

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.243689Z

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Observation a6c40e5e-b3cf-48ae-a53d-0cb5606fbc7e · outbound

This paper cites Track to detect and segment: An online multi-object tracker.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Track to detect and segment: An online multi-object tracker

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.252367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61284ee1-e04c-4767-8d34-7c2878291dae · outbound

This paper cites Minkowski Tracker: A Sparse Spatio-Temporal R-CNN for Joint Object Detection and Tracking.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Minkowski Tracker: A Sparse Spatio-Temporal R-CNN for Joint Object Detection and Tracking

Reference 69

Resolution: verified exact; local_arxiv, observed 2026-08-05T14:47:26.011718Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b5d0fbc6-7844-4974-ab9a-574308c58ca7 · outbound

This paper cites Second: Sparsely embedded convolutional detection.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Second: Sparsely embedded convolutional detection

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.264757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 399858a6-caf7-472c-903b-579293176b19 · outbound

This paper cites Joint multi-object detection and tracking with camera-LiDAR fusion for autonomous driving.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Joint multi-object detection and tracking with camera-LiDAR fusion for autonomous driving

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.270011Z

Source-reported events for the cited work

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Observation 39d6281b-c93d-421e-aff5-dbed404899b9 · outbound

This paper cites Cross-modal 3d object detection and tracking for auto-driving.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Cross-modal 3d object detection and tracking for auto-driving

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.276453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6757c058-2b57-49ad-81bd-60ab4622ba56 · outbound

This paper cites Joint 3d object detection and tracking using spatio-temporal representation of camera image and lidar point clouds.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Joint 3d object detection and tracking using spatio-temporal representation of camera image and lidar point clouds

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.282312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 320c4a0c-cfd1-4136-8180-88b19edc928a · outbound

This paper cites 3d- cvf: Generating joint camera and lidar features using cross-view spatial feature fusion for 3d object detection.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software 3d- cvf: Generating joint camera and lidar features using cross-view spatial feature fusion for 3d object detection

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.290621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 679499e7-9a53-4ac6-995f-4b4769f058b5 · outbound

This paper cites TransTrack: Multiple Object Tracking with Transformer.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software TransTrack: Multiple Object Tracking with Transformer

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.296123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 720d59e9-f312-422c-9a26-7a0985902726 · outbound

This paper cites Trackformer: Multi-object tracking with transformers.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Trackformer: Multi-object tracking with transformers

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.305824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ddd97a6-d33a-49a6-be3b-77fec474cd33 · outbound

This paper cites TransCenter: Transformers with dense representations for multiple-object tracking.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software TransCenter: Transformers with dense representations for multiple-object tracking

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.311171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ed8c668-b75e-451d-93da-3e2666538278 · outbound

This paper cites End-to-end object detection with transformers.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software End-to-end object detection with transformers

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.317791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8eab826b-ecea-42b1-acd5-333c17ffc49b · outbound

This paper cites Pvt v2: Improved baselines with pyramid vision transformer.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Pvt v2: Improved baselines with pyramid vision transformer

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.324416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f69a9bc9-1ccf-4fb9-bb8c-3ca44b77a620 · outbound

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

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Motr: End-to-end multiple-object tracking with transformer

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.331133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cddff11-482f-4787-8151-39a9fd1c967f · outbound

This paper cites Motrv2: Bootstrap- ping end-to-end multi-object tracking by pretrained object detectors.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Motrv2: Bootstrap- ping end-to-end multi-object tracking by pretrained object detectors

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.342290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bc4905f-00ea-4157-b2da-d45d3dc2edea · outbound

This paper cites YOLOX: Exceeding YOLO Series in 2021.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software YOLOX: Exceeding YOLO Series in 2021

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.355412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e95bf644-a711-4fc9-8d56-3e5cb4a4bf35 · outbound

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

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software MOTRv3: Release-Fetch Supervision for End-to-End Multi-Object Tracking

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.364018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b04a137-eba9-431e-8b57-6ffa944c3518 · outbound

This paper cites Bridging the Gap Between End-to-end and Non-End-to-end Multi-Object Tracking.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Bridging the Gap Between End-to-end and Non-End-to-end Multi-Object Tracking

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.373284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e816333-9ac3-4d44-a819-7d1008706d29 · outbound

This paper cites MeMOTR: Long-term memory- augmented transformer for multi-object tracking.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software MeMOTR: Long-term memory- augmented transformer for multi-object tracking

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.383430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b577418-2ba7-4b3d-b9a9-634b34a4eece · outbound

This paper cites Multi- object Tracking by Detection and Query: an efficient end-to-end manner.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Multi- object Tracking by Detection and Query: an efficient end-to-end manner

Reference 86

Resolution: verified exact; raw_fallback, observed 2026-08-05T14:47:25.854453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b98bec31-4505-4416-b54c-b799f79468e0 · outbound

This paper cites Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.398907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e79fde7-c527-49db-9128-cb834146e3b5 · outbound

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

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Mutr3d: A multi-camera tracking framework via 3d-to-2d queries

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.404896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e32463f-180d-4c0f-b5c3-7ae3e24f7827 · outbound

This paper cites End-to-end 3d tracking with 18 decoupled queries.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software End-to-end 3d tracking with 18 decoupled queries

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.411225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e81e739d-8645-41d7-9d79-e05006570279 · outbound

This paper cites Ada-track: End-to-end multi-camera 3d multi-object tracking with alternating detection and association.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Ada-track: End-to-end multi-camera 3d multi-object tracking with alternating detection and association

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.420040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1b61c15-57fc-4e56-a547-2ddefe7a437a · outbound

This paper cites OneTrack: Demystifying the Conflict Between Detection and Tracking in End-to- End 3D Trackers.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software OneTrack: Demystifying the Conflict Between Detection and Tracking in End-to- End 3D Trackers

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.427496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9b4d79a-5e82-4a39-924c-a3a8be3b9f5e · outbound

This paper cites Exploring object-centric temporal modeling for efficient multi-view 3d object detection.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Exploring object-centric temporal modeling for efficient multi-view 3d object detection

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.461638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a0b1e66-adfe-40ae-8556-13837ddaee78 · outbound

This paper cites MCTR: Multi Camera Tracking Transformer.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software MCTR: Multi Camera Tracking Transformer

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.469813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d846ea28-0553-4d09-b903-5cca99b5fcca · outbound

This paper cites JDT3D: Address- ing the Gaps in LiDAR-Based Tracking-by-Attention.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software JDT3D: Address- ing the Gaps in LiDAR-Based Tracking-by-Attention

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.476315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1177737d-105b-45e6-b858-b2c7ec9bb0da · outbound

This paper cites Mask4former: Mask transformer for 4d panoptic segmentation.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Mask4former: Mask transformer for 4d panoptic segmentation

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.484235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2018f266-6f97-4e11-8aa3-2908ac57e65e · outbound

This paper cites Motiontrack: Learning robust short-term and long-term motions for multi-object tracking.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Motiontrack: Learning robust short-term and long-term motions for multi-object tracking

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.490078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b90310a-c6ee-4103-8214-1d8d1046e09f · outbound

This paper cites Transfusion: Robust lidar-camera fusion for 3d object detection with transformers.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Transfusion: Robust lidar-camera fusion for 3d object detection with transformers

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.497386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73014362-d50d-466d-b40f-b1bd62e08693 · outbound

This paper cites Argoverse 2: Next Generation Datasets for Self-driving Perception and Forecasting.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Argoverse 2: Next Generation Datasets for Self-driving Perception and Forecasting

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.503900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 304ac416-75d8-4d8b-bcd6-ebf4379d8617 · outbound

This paper cites MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.512799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 531615f8-d38f-496e-bb20-d8655e99d8e2 · outbound

This paper cites MOT16: A Benchmark for Multi-Object Tracking.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software MOT16: A Benchmark for Multi-Object Tracking

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.519450Z

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