mlsanityData to 7 Oct 2026

Anticipating Traffic Accidents with Adaptive Loss and Large-scale Incident DB

arXiv 1804.02675 ↗First posted 8 Apr 2018cs.CVcited by 51

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Abstract (arXiv)

In this paper, we propose a novel approach for traffic accident anticipation through (i) Adaptive Loss for Early Anticipation (AdaLEA) and (ii) a large-scale self-annotated incident database for anticipation. The proposed AdaLEA allows a model to gradually learn an earlier anticipation as training progresses. The loss function adaptively assigns penalty weights depending on how early the model can an- ticipate a traffic accident at each epoch. Additionally, we construct a Near-miss Incident DataBase for anticipation. This database contains an enormous number of traffic near- miss incident videos and annotations for detail evaluation of two tasks, risk anticipation and risk-factor anticipation. In our experimental results, we found our proposal achieved the highest scores for risk anticipation (+6.6% better on mean average precision (mAP) and 2.36 sec earlier than previous work on the average time-to-collision (ATTC)) and risk-factor anticipation (+4.3% better on mAP and 0.70 sec earlier than previous work on ATTC).

Key facts. Cited by 51 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 Apr 2018.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 9; 2022: 5; 2023: 6; 2024: 9; 2025: 12; 2026: 10.

51 papers.

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  1. 2021Explainability of deep vision-based autonomous driving systems: Review and challengescited by 80
  2. 2021DRIVE: Deep Reinforced Accident Anticipation with Visual Explanationcited by 46
  3. 2024Abductive Ego-View Accident Video Understanding for Safe Driving Perceptioncited by 43
  4. 2021A Dynamic Spatial-temporal Attention Network for Early Anticipation of Traffic Accidentscited by 42
  5. 2023Vision-Based Traffic Accident Detection and Anticipation: A Surveycited by 31
  6. 2024OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understandingcited by 31
  7. 2022Behavioral Intention Prediction in Driving Scenes: A Surveycited by 30
  8. 2021Exploring Event-driven Dynamic Context for Accident Scene Segmentationcited by 22
  9. 2025Nexar Dashcam Collision Prediction Dataset and Challengecited by 21
  10. 2022Cognitive Accident Prediction in Driving Scenes: A Multimodality Benchmarkcited by 16
  11. 2024Visual Knowledge in the Big Model Era: Retrospect and Prospectcited by 16
  12. 2024CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentionscited by 14
38 more
  1. 2022Deep Learning Serves Traffic Safety Analysis: A Forward-looking Reviewcited by 13
  2. 2023RiskBench: A Scenario-based Benchmark for Risk Identificationcited by 12
  3. 2024Real-time Accident Anticipation for Autonomous Driving Through Monocular Depth-Enhanced 3D Modelingcited by 12
  4. 2023A Survey on Deep Learning Techniques for Action Anticipationcited by 11
  5. 2021DROID: Driver-centric Risk Object Identificationcited by 9
  6. 2021CIRA Guide to Custom Loss Functions for Neural Networks in Environmental Sciences -- Version 1cited by 8
  7. 2025Real-time Traffic Accident Anticipation with Feature Reusecited by 8
  8. 2025World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Drivingcited by 7
  9. 2022Text-Derived Knowledge Helps Vision: A Simple Cross-modal Distillation for Video-based Action Anticipationcited by 6
  10. 2021Review of Video Predictive Understanding: Early Action Recognition and Future Action Predictioncited by 5
  11. 2025Simulating the Unseen: Crash Prediction Must Learn from What Did Not Happencited by 5
  12. 2025Domain-Enhanced Dual-Branch Model for Efficient and Interpretable Accident Anticipationcited by 5
  13. 2023Exploring the Potential of Multi-Modal AI for Driving Hazard Predictioncited by 4
  14. 2024When, Where, and What? A Novel Benchmark for Accident Anticipation and Localization with Large Language Modelscited by 4
  15. 2025BADAS: Context Aware Collision Prediction Using Real-World Dashcam Datacited by 4
  16. 2025Accident Anticipation via Temporal Occurrence Predictioncited by 4
  17. 2021The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimizationcited by 3
  18. 2024CycleCrash: A Dataset of Bicycle Collision Videos for Collision Prediction and Analysiscited by 3
  19. 2025Controllable Collision Scenario Generation via Collision Pattern Predictioncited by 3
  20. 2021Crash Report Data Analysis for Creating Scenario-Wise, Spatio-Temporal Attention Guidance to Support Computer Vision-based Perception of Fatal Crash Riskscited by 2
  21. 2022Reinforcement Learning for Predicting Traffic Accidentscited by 2
  22. 2023Augmenting Ego-Vehicle for Traffic Near-Miss and Accident Classification Dataset using Manipulating Conditional Style Translationcited by 2
  23. 2024Potential Field as Scene Affordance for Behavior Change-Based Visual Risk Object Identificationcited by 2
  24. 2025EQ-TAA: Equivariant Traffic Accident Anticipation via Diffusion-Based Accident Video Synthesiscited by 2
  25. 2026RiskProp: Collision-Anchored Self-Supervised Risk Propagation for Early Accident Anticipationcited by 2
  26. 2025Deep Learning Advances in Vision-Based Traffic Accident Anticipation: A Comprehensive Review of Methods, Datasets, and Future Directionscited by 1
  27. 2025STAGNet: A Spatio-Temporal Graph and LSTM Framework for Accident Anticipationcited by 1
  28. 2026Beyond the Beep: Scalable Collision Anticipation and Real-Time Explainability with BADAS-2.0cited by 1
  29. 2023Traffic Incident Database with Multiple Labels Including Various Perspective Environmental Informationcited by 0
  30. 2024On-Road Object Importance Estimation: A New Dataset and A Model with Multi-Fold Top-Down Guidancecited by 0
  31. 2025ROAR: Robust Accident Recognition and Anticipation for Autonomous Drivingcited by 0
  32. 2026Hazard-Aware Traffic Scene Graph Generationcited by 0
  33. 2026SECURE: Stable Early Collision Understanding via Robust Embeddings in Autonomous Drivingcited by 0
  34. 2026VAGNet: Vision-based Accident Anticipation with Global Featurescited by 0
  35. 2026CollideNet: Hierarchical Multi-scale Video Representation Learning with Disentanglement for Time-To-Collision Forecastingcited by 0
  36. 2026Learning from the Unseen: Generative Data Augmentation for Geometric-Semantic Accident Anticipationcited by 0
  37. 2026NSF-HRPT: Neural Semantic Field meets Hierarchical Risk Perception Tree for Safety-Critical Scenario Assessmentcited by 0
  38. 2026CoRE: Weakly Supervised Coarse-to-Fine Risk Evidence Learning in Driving Videoscited by 0

50 most cited of 51 All 51 (JSON)