Cover Image

Predict and Resist: Long-Term Accident Anticipation under Sensor Noise

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Xingcheng, Rao, Bin, Guan, Yanchen, Wang, Chengyue, Liao, Haicheng, Zhang, Jiaxun, Lin, Chengyu, Zhu, Meixin, Li, Zhenning
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Learning from the Unseen: Generative Data Augmentation for Geometric-Semantic Accident Anticipation
by: Guan, Yanchen, et al.
Published: (2026)

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

AMD: Adaptive Momentum and Decoupled Contrastive Learning Framework for Robust Long-Tail Trajectory Prediction
by: Rao, Bin, et al.
Published: (2025)

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

Learning physically grounded traffic accident reconstruction from public accident reports
by: Guan, Yanchen, et al.
Published: (2026)

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

When, Where, and What? A Novel Benchmark for Accident Anticipation and Localization with Large Language Models
by: Liao, Haicheng, et al.
Published: (2024)

Eyes on the Road, Mind Beyond Vision: Context-Aware Multi-modal Enhanced Risk Anticipation
by: Zhang, Jiaxun, et al.
Published: (2025)

Differentiable Semantic Meta-Learning Framework for Long-Tail Motion Forecasting in Autonomous Driving
by: Rao, Bin, et al.
Published: (2025)

Real-time Accident Anticipation for Autonomous Driving Through Monocular Depth-Enhanced 3D Modeling
by: Liao, Haicheng, et al.
Published: (2024)

CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentions
by: Liao, Haicheng, et al.
Published: (2024)

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

Beyond Patterns: Harnessing Causal Logic for Autonomous Driving Trajectory Prediction
by: Wang, Bonan, et al.
Published: (2025)

GPT-4 Enhanced Multimodal Grounding for Autonomous Driving: Leveraging Cross-Modal Attention with Large Language Models
by: Liao, Haicheng, et al.
Published: (2023)

SAIL: Scene-aware Adaptive Iterative Learning for Long-Tail Trajectory Prediction in Autonomous Vehicles
by: Rao, Bin, et al.
Published: (2026)

Addressing Corner Cases in Autonomous Driving: A World Model-based Approach with Mixture of Experts and LLMs
by: Liao, Haicheng, et al.
Published: (2025)

CoT-Drive: Efficient Motion Forecasting for Autonomous Driving with LLMs and Chain-of-Thought Prompting
by: Liao, Haicheng, et al.
Published: (2025)

NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving
by: Wang, Chengyue, et al.
Published: (2024)

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

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

Gated Temporal Diffusion for Stochastic Long-Term Dense Anticipation
by: Zatsarynna, Olga, et al.
Published: (2024)

Technical Report for Ego4D Long-Term Action Anticipation Challenge 2025
by: Chu, Qiaohui, et al.
Published: (2025)

Map-World: Masked Action planning and Path-Integral World Model for Autonomous Driving
by: Hu, Bin, et al.
Published: (2025)

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

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

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

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

MANTA: Diffusion Mamba for Efficient and Effective Stochastic Long-Term Dense Anticipation
by: Zatsarynna, Olga, et al.
Published: (2025)

Vision and Intention Boost Large Language Model in Long-Term Action Anticipation
by: Cao, Congqi, et al.
Published: (2025)

Enhancing Highway Safety: Accident Detection on the A9 Test Stretch Using Roadside Sensors
by: Zimmer, Walter, et al.
Published: (2025)

Think Before You Drive: World Model-Inspired Multimodal Grounding for Autonomous Vehicles
by: Liao, Haicheng, et al.
Published: (2025)

Intention-Guided Cognitive Reasoning for Egocentric Long-Term Action Anticipation
by: Chu, Qiaohui, et al.
Published: (2025)

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

Deep Learning Advances in Vision-Based Traffic Accident Anticipation: A Comprehensive Review of Methods, Datasets, and Future Directions
by: Lin, Ruonan, et al.
Published: (2025)

DEMO: A Dynamics-Enhanced Learning Model for Multi-Horizon Trajectory Prediction in Autonomous Vehicles
by: Wang, Chengyue, et al.
Published: (2024)

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints
by: Maté, Alberto, et al.
Published: (2024)

DRIVE: Dependable Robust Interpretable Visionary Ensemble Framework in Autonomous Driving
by: Lai, Songning, et al.
Published: (2024)

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

A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environment
by: Liao, Haicheng, et al.
Published: (2024)