mlsanityData to 7 Oct 2026

Enhancing Highway Safety: Accident Detection on the A9 Test Stretch Using Roadside Sensors

arXiv 2502.00402 ↗First posted 1 Feb 2025cs.CVcited by 1

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Abstract (arXiv)

Road traffic injuries are the leading cause of death for people aged 5-29, resulting in about 1.19 million deaths each year. To reduce these fatalities, it is essential to address human errors like speeding, drunk driving, and distractions. Additionally, faster accident detection and quicker medical response can help save lives. We propose an accident detection framework that combines a rule-based approach with a learning-based one. We introduce a dataset of real-world highway accidents featuring high-speed crash sequences. It includes 294,924 labeled 2D boxes, 93,012 labeled 3D boxes, and track IDs across 48,144 frames captured at 10 Hz using four roadside cameras and LiDAR sensors. The dataset covers ten object classes and is released in the OpenLABEL format. Our experiments and analysis demonstrate the reliability of our method.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 28 of its 42 references that are in the map. First posted on arXiv 1 Feb 2025.

Builds on

28 of 42 references.

References · 28

  1. 2017CARLA: An Open Urban Driving Simulatorcited by 2,431
  2. 2023Vision Language Models in Autonomous Driving: A Survey and Outlookcited by 124
  3. 2023DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Drivingcited by 73
  4. 2024TUMTraf V2X Cooperative Perception Datasetcited by 66
  5. 2024A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlookcited by 65
  6. 2021LaneAF: Robust Multi-Lane Detection with Affinity Fieldscited by 41
  7. 2022A9-Dataset: Multi-Sensor Infrastructure-Based Dataset for Mobility Researchcited by 40
  8. 20193D BAT: A Semi-Automatic, Web-based 3D Annotation Toolbox for Full-Surround, Multi-Modal Data Streamscited by 35
  9. 2024Collaborative Semantic Occupancy Prediction with Hybrid Feature Fusion in Connected Automated Vehiclescited by 33
  10. 2023Vision-Based Traffic Accident Detection and Anticipation: A Surveycited by 31
  11. 2021IPS300+: a Challenging Multimodal Dataset for Intersection Perception Systemcited by 26
  12. 2023InfraDet3D: Multi-Modal 3D Object Detection based on Roadside Infrastructure Camera and LiDAR Sensorscited by 25
16 more
  1. 2024Towards Explainable, Safe Autonomous Driving with Language Embeddings for Novelty Identification and Active Learning: Framework and Experimental Analysis with Real-World Data Setscited by 25
  2. 2022TAD: A Large-Scale Benchmark for Traffic Accidents Detection from Video Surveillancecited by 20
  3. 2024The Why, When, and How to Use Active Learning in Large-Data-Driven 3D Object Detection for Safe Autonomous Driving: An Empirical Explorationcited by 17
  4. 2024ActiveAnno3D -- An Active Learning Framework for Multi-Modal 3D Object Detectioncited by 17
  5. 2024TUMTraf Event: Calibration and Fusion Resulting in a Dataset for Roadside Event-Based and RGB Camerascited by 13
  6. 2023Safe Control Transitions: Machine Vision Based Observable Readiness Index and Data-Driven Takeover Time Predictioncited by 12
  7. 2022A Survey of Robust 3D Object Detection Methods in Point Cloudscited by 10
  8. 2022Real-Time and Robust 3D Object Detection Within Road-Side LiDARs Using Domain Adaptationcited by 10
  9. 2022Real-Time And Robust 3D Object Detection with Roadside LiDARscited by 9
  10. 2023Pedestrian Behavior Maps for Safety Advisories: CHAMP Framework and Real-World Data Analysiscited by 9
  11. 2024WARM-3D: A Weakly-Supervised Sim2Real Domain Adaptation Framework for Roadside Monocular 3D Object Detectioncited by 9
  12. 2023Smart City Transportation: Deep Learning Ensemble Approach for Traffic Accident Detectioncited by 8
  13. 2022Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Modelscited by 5
  14. 2024GraphRelate3D: Context-Dependent 3D Object Detection with Inter-Object Relationship Graphscited by 3
  15. 2024PointCompress3D: A Point Cloud Compression Framework for Roadside LiDARs in Intelligent Transportation Systemscited by 2
  16. 2024Transfer Learning from Simulated to Real Scenes for Monocular 3D Object Detectioncited by 2

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Citing papers per year: 2025: 1.

1 paper.

  1. 2025LangCoop: Collaborative Driving with Languagecited by 25