Cover Image

Real-time Accident Anticipation for Autonomous Driving Through Monocular Depth-Enhanced 3D Modeling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liao, Haicheng, Li, Yongkang, Wang, Chengyue, Lai, Songning, Li, Zhenning, Bian, Zilin, Lee, Jaeyoung, Cui, Zhiyong, Zhang, Guohui, Xu, Chengzhong
Format:	Preprint
Published:	2024
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

A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving
by: Liao, Haicheng, et al.
Published: (2024)

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

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

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)

Towards Human-Like Trajectory Prediction for Autonomous Driving: A Behavior-Centric Approach
by: Liao, Haicheng, et al.
Published: (2025)

Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction
by: Liao, Haicheng, et al.
Published: (2024)

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

Beyond Patterns: Harnessing Causal Logic for Autonomous Driving Trajectory Prediction
by: Wang, Bonan, 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)

Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments
by: Liao, Haicheng, et al.
Published: (2024)

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

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

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

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

MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving
by: Liao, Haicheng, et al.
Published: (2024)

World Models for Autonomous Driving: An Initial Survey
by: Guan, Yanchen, et al.
Published: (2024)

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

Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving
by: Liao, Haicheng, et al.
Published: (2024)

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

Minds on the Move: Decoding Trajectory Prediction in Autonomous Driving with Cognitive Insights
by: Liao, Haicheng, et al.
Published: (2025)

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

CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentions
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)

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

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

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

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

SafeCast: Risk-Responsive Motion Forecasting for Autonomous Vehicles
by: Liao, Haicheng, et al.
Published: (2025)

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

E3AD: An Emotion-Aware Vision-Language-Action Model for Human-Centric End-to-End Autonomous Driving
by: Tang, Yihong, et al.
Published: (2025)

SECURE: Stable Early Collision Understanding via Robust Embeddings in Autonomous Driving
by: Wang, Wenjing, et al.
Published: (2026)

Real-time Traffic Accident Anticipation with Feature Reuse
by: Song, Inpyo, 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)

Traffic Prediction considering Multiple Levels of Spatial-temporal Information: A Multi-scale Graph Wavelet-based Approach
by: Bian, Zilin, et al.
Published: (2024)

Trajectory Prediction for Autonomous Driving Using a Transformer Network
by: Li, Zhenning, et al.
Published: (2024)

Single-Eye View: Monocular Real-time Perception Package for Autonomous Driving
by: Zhang, Haixi, et al.
Published: (2026)

Optical Lens Attack on Monocular Depth Estimation for Autonomous Driving
by: Zhou, Ce, et al.
Published: (2024)

SAH-Drive: A Scenario-Aware Hybrid Planner for Closed-Loop Vehicle Trajectory Generation
by: Fan, Yuqi, et al.
Published: (2025)