Image de couverture de livre

ScenePilot: Controllable Boundary-Driven Critical Scenario Generation for Autonomous Driving

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ruan, Qiyu, Wang, Yuxuan, Li, He, Li, Zhenning, Xu, Cheng-zhong
Format:	Preprint
Publié:	2026
Sujets:	Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles
par: Zhang, Jiawei, et autres
Publié: (2024)

MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving
par: Liao, Haicheng, et autres
Publié: (2024)

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving
par: Li, Jingzheng, et autres
Publié: (2025)

ROAR: Robust Accident Recognition and Anticipation for Autonomous Driving
par: Liu, Xingcheng, et autres
Publié: (2025)

AnchorDrive: LLM Scenario Rollout with Anchor-Guided Diffusion Regeneration for Safety-Critical Scenario Generation
par: Jiang, Zhulin, et autres
Publié: (2026)

Fusing Driver Perceived and Physical Risk for Safety Critical Scenario Screening in Autonomous Driving
par: Xiong, Chen, et autres
Publié: (2026)

A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving
par: Liao, Haicheng, et autres
Publié: (2024)

Towards Human-Like Trajectory Prediction for Autonomous Driving: A Behavior-Centric Approach
par: Liao, Haicheng, et autres
Publié: (2025)

LD-Scene: LLM-Guided Diffusion for Controllable Generation of Adversarial Safety-Critical Driving Scenarios
par: Peng, Mingxing, et autres
Publié: (2025)

Text2Scenario: Text-Driven Scenario Generation for Autonomous Driving Test
par: Cai, Xuan, et autres
Publié: (2025)

CoT-Drive: Efficient Motion Forecasting for Autonomous Driving with LLMs and Chain-of-Thought Prompting
par: Liao, Haicheng, et autres
Publié: (2025)

Minds on the Move: Decoding Trajectory Prediction in Autonomous Driving with Cognitive Insights
par: Liao, Haicheng, et autres
Publié: (2025)

World Models for Autonomous Driving: An Initial Survey
par: Guan, Yanchen, et autres
Publié: (2024)

Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis
par: Gao, Yuan, et autres
Publié: (2025)

ScenePilot-4K: A Large-Scale First-Person Dataset and Benchmark for Vision-Language Models in Autonomous Driving
par: Wang, Yujin, et autres
Publié: (2026)

Addressing Corner Cases in Autonomous Driving: A World Model-based Approach with Mixture of Experts and LLMs
par: Liao, Haicheng, et autres
Publié: (2025)

Beyond Patterns: Harnessing Causal Logic for Autonomous Driving Trajectory Prediction
par: Wang, Bonan, et autres
Publié: (2025)

Seeking to Collide: Online Safety-Critical Scenario Generation for Autonomous Driving with Retrieval Augmented Large Language Models
par: Mei, Yuewen, et autres
Publié: (2025)

GPT-4 Enhanced Multimodal Grounding for Autonomous Driving: Leveraging Cross-Modal Attention with Large Language Models
par: Liao, Haicheng, et autres
Publié: (2023)

SaFeR: Safety-Critical Scenario Generation for Autonomous Driving Test via Feasibility-Constrained Token Resampling
par: Cui, Jinlong, et autres
Publié: (2026)

Distributional Soft Actor-Critic with Harmonic Gradient for Safe and Efficient Autonomous Driving in Multi-lane Scenarios
par: Zhang, Feihong, et autres
Publié: (2025)

Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios
par: Li, Jingzheng, et autres
Publié: (2025)

Generating Critical Scenarios for Testing Automated Driving Systems
par: Nguyen, Trung-Hieu, et autres
Publié: (2024)

Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction
par: Liao, Haicheng, et autres
Publié: (2024)

Driving-RAG: Driving Scenarios Embedding, Search, and RAG Applications
par: Chang, Cheng, et autres
Publié: (2025)

ADRD: LLM-Driven Autonomous Driving Based on Rule-based Decision Systems
par: Zeng, Fanzhi, et autres
Publié: (2025)

AuthSim: Towards Authentic and Effective Safety-critical Scenario Generation for Autonomous Driving Tests
par: Yang, Yukuan, et autres
Publié: (2025)

NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving
par: Wang, Chengyue, et autres
Publié: (2024)

Towards Camera Open-set 3D Object Detection for Autonomous Driving Scenarios
par: He, Zhuolin, et autres
Publié: (2024)

A Scenario-Driven Cognitive Approach to Next-Generation AI Memory
par: Cai, Linyue, et autres
Publié: (2025)

Adversarial Safety-Critical Scenario Generation using Naturalistic Human Driving Priors
par: Hao, Kunkun, et autres
Publié: (2024)

HAD-Gen: Human-like and Diverse Driving Behavior Modeling for Controllable Scenario Generation
par: Wang, Cheng, et autres
Publié: (2025)

Think Before You Drive: World Model-Inspired Multimodal Grounding for Autonomous Vehicles
par: Liao, Haicheng, et autres
Publié: (2025)

Boundary State Generation for Testing and Improvement of Autonomous Driving Systems
par: Biagiola, Matteo, et autres
Publié: (2023)

Real-time Accident Anticipation for Autonomous Driving Through Monocular Depth-Enhanced 3D Modeling
par: Liao, Haicheng, et autres
Publié: (2024)

DeepMF: Deep Motion Factorization for Closed-Loop Safety-Critical Driving Scenario Simulation
par: Li, Yizhe, et autres
Publié: (2024)

AgentDrive: An Open Benchmark Dataset for Agentic AI Reasoning with LLM-Generated Scenarios in Autonomous Systems
par: Ferrag, Mohamed Amine, et autres
Publié: (2026)

From Failures to Fixes: LLM-Driven Scenario Repair for Self-Evolving Autonomous Driving
par: Xia, Xinyu, et autres
Publié: (2025)

MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes
par: Gao, Ruiyuan, et autres
Publié: (2024)

E3AD: An Emotion-Aware Vision-Language-Action Model for Human-Centric End-to-End Autonomous Driving
par: Tang, Yihong, et autres
Publié: (2025)