mlsanityData to 14 Oct 2026

Vision-Based Traffic Accident Detection and Anticipation: A Survey

arXiv 2308.15985 ↗First posted 30 Aug 2023cs.AIcited by 31

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Abstract (arXiv)

Traffic accident detection and anticipation is an obstinate road safety problem and painstaking efforts have been devoted. With the rapid growth of video data, Vision-based Traffic Accident Detection and Anticipation (named Vision-TAD and Vision-TAA) become the last one-mile problem for safe driving and surveillance safety. However, the long-tailed, unbalanced, highly dynamic, complex, and uncertain properties of traffic accidents form the Out-of-Distribution (OOD) feature for Vision-TAD and Vision-TAA. Current AI development may focus on these OOD but important problems. What has been done for Vision-TAD and Vision-TAA? What direction we should focus on in the future for this problem? A comprehensive survey is important. We present the first survey on Vision-TAD in the deep learning era and the first-ever survey for Vision-TAA. The pros and cons of each research prototype are discussed in detail during the investigation. In addition, we also provide a critical review of 31 publicly available benchmarks and related evaluation metrics. Through this survey, we want to spawn new insights and open possible trends for Vision-TAD and Vision-TAA tasks.

Key facts. Cited by 31 papers in the map (data through 14 Oct 2026). Builds on 65 of its 153 references that are in the map. First posted on arXiv 30 Aug 2023.

Builds on

65 of 153 references.

References · 65

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50 most cited of 65 All 65 (JSON)

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 2; 2024: 5; 2025: 17; 2026: 7.

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  1. 2024Advancing Video Anomaly Detection: A Concise Review and a New Datasetcited by 49
  2. 2024Real-time Accident Anticipation for Autonomous Driving Through Monocular Depth-Enhanced 3D Modelingcited by 13
  3. 2024DSRC: Learning Density-insensitive and Semantic-aware Collaborative Representation against Corruptionscited by 13
  4. 2023Smart City Transportation: Deep Learning Ensemble Approach for Traffic Accident Detectioncited by 8
  5. 2025World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Drivingcited by 8
  6. 2026ACCIDENT: A Benchmark Dataset for Vehicle Accident Detection from Traffic Surveillance Videoscited by 7
  7. 2025SafePLUG: Empowering Multimodal LLMs with Pixel-Level Insight and Temporal Grounding for Traffic Accident Understandingcited by 6
  8. 2023Classifier-head Informed Feature Masking and Prototype-based Logit Smoothing for Out-of-Distribution Detectioncited by 5
  9. 2025Domain-Enhanced Dual-Branch Model for Efficient and Interpretable Accident Anticipationcited by 5
  10. 2025Accident Anticipation via Temporal Occurrence Predictioncited by 4
  11. 2024CycleCrash: A Dataset of Bicycle Collision Videos for Collision Prediction and Analysiscited by 3
  12. 2025Learning collision risk proactively from naturalistic driving data at scalecited by 3
19 more
  1. 2025When Every Millisecond Counts: Real-Time Anomaly Detection via the Multimodal Asynchronous Hybrid Networkcited by 3
  2. 2025Towards Vision Zero: The TUM Traffic Accid3nD Datasetcited by 2
  3. 2025AccidentSim: Generating Vehicle Collision Videos with Physically Realistic Collision Trajectories from Real-World Accident Reportscited by 2
  4. 2025EQ-TAA: Equivariant Traffic Accident Anticipation via Diffusion-Based Accident Video Synthesiscited by 2
  5. 2024Hybrid Video Anomaly Detection for Anomalous Scenarios in Autonomous Drivingcited by 1
  6. 2025Enhancing Highway Safety: Accident Detection on the A9 Test Stretch Using Roadside Sensorscited by 1
  7. 2025Deep Learning Advances in Vision-Based Traffic Accident Anticipation: A Comprehensive Review of Methods, Datasets, and Future Directionscited by 1
  8. 2025What Demands Attention in Urban Street Scenes? From Scene Understanding towards Road Safety: A Survey of Vision-driven Datasets and Studiescited by 1
  9. 2025STAGNet: A Spatio-Temporal Graph and LSTM Framework for Accident Anticipationcited by 1
  10. 2025Investigating Traffic Accident Detection Using Multimodal Large Language Modelscited by 1
  11. 2026VAGNet: Vision-based Accident Anticipation with Global Featurescited by 1
  12. 2026TrafficRAG: A Multimodal RAG Framework for Traffic Accident Liability Determinationcited by 1
  13. 2025MsFIN: Multi-scale Feature Interaction Network for Traffic Accident Anticipationcited by 0
  14. 2025ROAR: Robust Accident Recognition and Anticipation for Autonomous Drivingcited by 0
  15. 2025Predictive Sample Assignment for Semantically Coherent Out-of-Distribution Detectioncited by 0
  16. 2026Learning from the Unseen: Generative Data Augmentation for Geometric-Semantic Accident Anticipationcited by 0
  17. 2026Two-Pass Zero-Shot Temporal-Spatial Grounding of Rare Traffic Events in Surveillance Videocited by 0
  18. 2026Metadata-Aware Multi-Prompt Reasoning for Zero-Shot Accident Understandingcited by 0
  19. 2026AUTOPILOT VQA: Benchmarking Vision-Language Models for Incident-Centric Dashcam Understandingcited by 0