Cover Image

Deep Learning Advances in Vision-Based Traffic Accident Anticipation: A Comprehensive Review of Methods, Datasets, and Future Directions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lin, Ruonan, Tang, Tao, Liu, Yongtai, Zhou, Wenye, Yang, Xin, Zheng, Hao, Lin, Jianpu, Zhang, Yi
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multisource Accident Datasets‐Driven Deep Learning‐Based Traffic Accident Portrait for Accident Reasoning
by: Chun-Hao Wang, et al.
Published: (2024)

EQ-TAA: Equivariant Traffic Accident Anticipation via Diffusion-Based Accident Video Synthesis
by: Fang, Jianwu, et al.
Published: (2025)

MsFIN: Multi-scale Feature Interaction Network for Traffic Accident Anticipation
by: Wu, Tongshuai, et al.
Published: (2025)

Real-time Traffic Accident Anticipation with Feature Reuse
by: Song, Inpyo, et al.
Published: (2025)

LATTE: Lightweight Attention-based Traffic Accident Anticipation Engine
by: Zhang, Jiaxun, et al.
Published: (2025)

VAGNet: Vision-based Accident Anticipation with Global Features
by: Vipulananthan, Vipooshan, et al.
Published: (2026)

Recent Advances in Traffic Accident Analysis and Prediction: A Comprehensive Review of Machine Learning Techniques
by: Behboudi, Noushin, et al.
Published: (2024)

Accident Anticipation via Temporal Occurrence Prediction
by: Zhao, Tianhao, et al.
Published: (2025)

Big Data and Deep Learning in Smart Cities: A Comprehensive Dataset for AI-Driven Traffic Accident Detection and Computer Vision Systems
by: Adewopo, Victor, et al.
Published: (2024)

Visual Hand Gesture Recognition with Deep Learning: A Comprehensive Review of Methods, Datasets, Challenges and Future Research Directions
by: Foteinos, Konstantinos, et al.
Published: (2025)

Reconstruction of the Motion of Traffic Accident Vehicle in the Vehicle‐Mounted Video Based on Direct Linear Transform
by: Hao Feng, et al.
Published: (2024)

P‐9.9: A Dual Collapse Transformer for Low‐light Image Enhancement
by: Fangwei Lai, et al.
Published: (2024)

P‐3.12: Lightweight CNN Design and Implementation for Handwritten Digit Recognition on Resource Constrained Devices
by: RiXin Chen, et al.
Published: (2025)

Predict and Resist: Long-Term Accident Anticipation under Sensor Noise
by: Liu, Xingcheng, et al.
Published: (2025)

Foundation Models in Robotics: A Comprehensive Review of Methods, Models, Datasets, Challenges and Future Research Directions
by: Psiris, Aggelos, et al.
Published: (2026)

CADD: A Chinese Traffic Accident Dataset for Statute-Based Liability Attribution
by: Shen, Yunfei, et al.
Published: (2025)

Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions
by: Jin, Cheng, et al.
Published: (2023)

ROAR: Robust Accident Recognition and Anticipation for Autonomous Driving
by: Liu, Xingcheng, et al.
Published: (2025)

Surgical Post-Training: Proximal On-Policy Distillation for Reasoning with Knowledge Retention
by: Lin, Wenye, et al.
Published: (2026)

Analysis of Major Road Traffic Accident Causes Using a Combined Method of Association Rule and Complex Network
by: Shuai Huang, et al.
Published: (2025)

Predicting Traffic Accident Severity with Deep Neural Networks
by: Bibb, Meghan, et al.
Published: (2025)

A Comprehensive Traffic Accident Investigation System for Identifying Causes of the Accident Involving Events with Autonomous Vehicle
by: Heesoo Kim, et al.
Published: (2024)

Cross-Modal Retrieval: A Systematic Review of Methods and Future Directions
by: Wang, Tianshi, et al.
Published: (2023)

Safety-Critical Learning for Long-Tail Events: The TUM Traffic Accident Dataset
by: Zimmer, Walter, et al.
Published: (2025)

RiskProp: Collision-Anchored Self-Supervised Risk Propagation for Early Accident Anticipation
by: Zou, Yiyang, et al.
Published: (2026)

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving
by: Guan, Yanchen, et al.
Published: (2025)

Metal–Organic Framework‐Based Materials for Advanced Sodium Storage: Development and Anticipation
by: Jian‐En Zhou, et al.
Published: (2024)

A Comprehensive Review on Traffic Datasets and Simulators for Autonomous Vehicles
by: Sarker, Supriya, et al.
Published: (2024)

Enhancing Vision-Language Models with Scene Graphs for Traffic Accident Understanding
by: Lohner, Aaron, et al.
Published: (2024)

Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks
by: Zheng, Xu, et al.
Published: (2023)

Deep Learning‐Based Network Relationship Construction Method and Its Impact on Futures Risk Premiums
by: Chen Chuanglian, et al.
Published: (2025)

Domain-Enhanced Dual-Branch Model for Efficient and Interpretable Accident Anticipation
by: Guan, Yanchen, et al.
Published: (2025)

STAGNet: A Spatio-Temporal Graph and LSTM Framework for Accident Anticipation
by: Vipulananthan, Vipooshan, et al.
Published: (2025)

Multimodal Explainable Artificial Intelligence: A Comprehensive Review of Methodological Advances and Future Research Directions
by: Rodis, Nikolaos, et al.
Published: (2023)

Recent Advances in Exopolysaccharide–Protein Interactions in Fermented Dairy‐ and Plant‐Based Yogurts: Mechanisms, Influencing Factors, Health Benefits, Analytical Techniques, and Future Directions
by: Jianwei Zang, et al.
Published: (2025)

Physical Depth-aware Early Accident Anticipation: A Multi-dimensional Visual Feature Fusion Framework
by: Huang, Hongpu, et al.
Published: (2025)

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety
by: Özeren, Enes, et al.
Published: (2025)

Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions
by: Kulkarni, Adithya, et al.
Published: (2025)

High‐Temperature Superconducting SQUIDs: From Principles and Fabrication to Applications ‐ A Comprehensive Review
by: Ruonan Wang, et al.
Published: (2026)

Deep Reinforcement Learning-based Methods for Resource Scheduling in Cloud Computing: A Review and Future Directions
by: Zhou, Guangyao, et al.
Published: (2021)