From Failures to Fixes: LLM-Driven Scenario Repair for Self-Evolving Autonomous Driving
Fuente:
arXiv
Saved in:
| Main Authors: | Xia, Xinyu, Ma, Xingjun, Hu, Yunfeng, Qu, Ting, Chen, Hong, Gong, Xun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Open-Ended Instruction Realization with LLM-Enabled Multi-Planner Scheduling in Autonomous Vehicles
by: Liu, Jiawei, et al.
Published: (2026)
by: Liu, Jiawei, et al.
Published: (2026)
DeFIX: Detecting and Fixing Failure Scenarios with Reinforcement Learning in Imitation Learning Based Autonomous Driving
by: Dagdanov, Resul, et al.
Published: (2022)
by: Dagdanov, Resul, et al.
Published: (2022)
Enhancing Autonomous Driving Safety with Collision Scenario Integration
by: Wang, Zi, et al.
Published: (2025)
by: Wang, Zi, et al.
Published: (2025)
Hybrid Video Anomaly Detection for Anomalous Scenarios in Autonomous Driving
by: Bogdoll, Daniel, et al.
Published: (2024)
by: Bogdoll, Daniel, et al.
Published: (2024)
Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Review
by: Shi, Yining, et al.
Published: (2023)
by: Shi, Yining, et al.
Published: (2023)
Mimir: Hierarchical Goal-Driven Diffusion with Uncertainty Propagation for End-to-End Autonomous Driving
by: Xing, Zebin, et al.
Published: (2025)
by: Xing, Zebin, et al.
Published: (2025)
Localization-Guided Foreground Augmentation in Autonomous Driving
by: Yong, Jiawei, et al.
Published: (2026)
by: Yong, Jiawei, et al.
Published: (2026)
LLM-attacker: Enhancing Closed-loop Adversarial Scenario Generation for Autonomous Driving with Large Language Models
by: Mei, Yuewen, et al.
Published: (2025)
by: Mei, Yuewen, et al.
Published: (2025)
Echo Planning for Autonomous Driving: From Current Observations to Future Trajectories and Back
by: Sun, Jintao, et al.
Published: (2025)
by: Sun, Jintao, et al.
Published: (2025)
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving
by: Wang, Zhiye, et al.
Published: (2026)
by: Wang, Zhiye, et al.
Published: (2026)
HiDrive: A Closed-Loop Benchmark for High-Level Autonomous Driving
by: Xia, Zhongyu, et al.
Published: (2026)
by: Xia, Zhongyu, et al.
Published: (2026)
Self-supervised Multi-future Occupancy Forecasting for Autonomous Driving
by: Lange, Bernard, et al.
Published: (2024)
by: Lange, Bernard, et al.
Published: (2024)
Progressive Bird's Eye View Perception for Safety-Critical Autonomous Driving: A Comprehensive Survey
by: Gong, Yan, et al.
Published: (2025)
by: Gong, Yan, et al.
Published: (2025)
Driving in Corner Case: A Real-World Adversarial Closed-Loop Evaluation Platform for End-to-End Autonomous Driving
by: Geng, Jiaheng, et al.
Published: (2025)
by: Geng, Jiaheng, et al.
Published: (2025)
A Framework for a Capability-driven Evaluation of Scenario Understanding for Multimodal Large Language Models in Autonomous Driving
by: Sohn, Tin Stribor, et al.
Published: (2025)
by: Sohn, Tin Stribor, et al.
Published: (2025)
ComDrive: Comfort-Oriented End-to-End Autonomous Driving
by: Wang, Junming, et al.
Published: (2024)
by: Wang, Junming, et al.
Published: (2024)
DiffAD: A Unified Diffusion Modeling Approach for Autonomous Driving
by: Wang, Tao, et al.
Published: (2025)
by: Wang, Tao, et al.
Published: (2025)
From Human Intention to Action Prediction: Intention-Driven End-to-End Autonomous Driving
by: Zheng, Huan, et al.
Published: (2025)
by: Zheng, Huan, et al.
Published: (2025)
AutoDrive-R$^2$: Incentivizing Reasoning and Self-Reflection Capacity for VLA Model in Autonomous Driving
by: Yuan, Zhenlong, et al.
Published: (2025)
by: Yuan, Zhenlong, et al.
Published: (2025)
DragTraffic: Interactive and Controllable Traffic Scene Generation for Autonomous Driving
by: Wang, Sheng, et al.
Published: (2024)
by: Wang, Sheng, et al.
Published: (2024)
GASP: Unifying Geometric and Semantic Self-Supervised Pre-training for Autonomous Driving
by: Ljungbergh, William, et al.
Published: (2025)
by: Ljungbergh, William, et al.
Published: (2025)
SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving
by: Zhang, Qingwen, et al.
Published: (2024)
by: Zhang, Qingwen, et al.
Published: (2024)
DriveSceneGen: Generating Diverse and Realistic Driving Scenarios from Scratch
by: Sun, Shuo, et al.
Published: (2023)
by: Sun, Shuo, et al.
Published: (2023)
SubjectDrive: Scaling Generative Data in Autonomous Driving via Subject Control
by: Huang, Binyuan, et al.
Published: (2024)
by: Huang, Binyuan, et al.
Published: (2024)
Towards Safe and Reliable Autonomous Driving: Dynamic Occupancy Set Prediction
by: Shao, Wenbo, et al.
Published: (2024)
by: Shao, Wenbo, et al.
Published: (2024)
TrajDiff: End-to-end Autonomous Driving without Perception Annotation
by: Gui, Xingtai, et al.
Published: (2025)
by: Gui, Xingtai, et al.
Published: (2025)
From Shadows to Safety: Occlusion Tracking and Risk Mitigation for Urban Autonomous Driving
by: Moller, Korbinian, et al.
Published: (2025)
by: Moller, Korbinian, et al.
Published: (2025)
From Static to Dynamic: a Survey of Topology-Aware Perception in Autonomous Driving
by: Chen, Yixiao, et al.
Published: (2025)
by: Chen, Yixiao, et al.
Published: (2025)
Lightning NeRF: Efficient Hybrid Scene Representation for Autonomous Driving
by: Cao, Junyi, et al.
Published: (2024)
by: Cao, Junyi, et al.
Published: (2024)
CoReVLA: A Dual-Stage End-to-End Autonomous Driving Framework for Long-Tail Scenarios via Collect-and-Refine
by: Fang, Shiyu, et al.
Published: (2025)
by: Fang, Shiyu, et al.
Published: (2025)
SCOUT: A Lightweight Framework for Scenario Coverage Assessment in Autonomous Driving
by: Yildiz, Anil, et al.
Published: (2025)
by: Yildiz, Anil, et al.
Published: (2025)
4D-CAAL: 4D Radar-Camera Calibration and Auto-Labeling for Autonomous Driving
by: Yao, Shanliang, et al.
Published: (2026)
by: Yao, Shanliang, et al.
Published: (2026)
Robo-Cortex: A Self-Evolving Embodied Agent via Dual-Grain Cognitive Memory and Autonomous Knowledge Induction
by: Chan, Nga Teng, et al.
Published: (2026)
by: Chan, Nga Teng, et al.
Published: (2026)
ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving
by: Li, Yongkang, et al.
Published: (2025)
by: Li, Yongkang, et al.
Published: (2025)
DriveSafer: End-to-End Autonomous Driving with Safety Guidance
by: Sural, Shounak, et al.
Published: (2026)
by: Sural, Shounak, et al.
Published: (2026)
Distilling Multi-modal Large Language Models for Autonomous Driving
by: Hegde, Deepti, et al.
Published: (2025)
by: Hegde, Deepti, et al.
Published: (2025)
LHPF: Look back the History and Plan for the Future in Autonomous Driving
by: Wang, Sheng, et al.
Published: (2024)
by: Wang, Sheng, et al.
Published: (2024)
RoboTron-Drive: All-in-One Large Multimodal Model for Autonomous Driving
by: Huang, Zhijian, et al.
Published: (2024)
by: Huang, Zhijian, et al.
Published: (2024)
Scene Completeness-Aware Lidar Depth Completion for Driving Scenario
by: Wu, Cho-Ying, et al.
Published: (2020)
by: Wu, Cho-Ying, et al.
Published: (2020)
Tracking Meets Large Multimodal Models for Driving Scenario Understanding
by: Ishaq, Ayesha, et al.
Published: (2025)
by: Ishaq, Ayesha, et al.
Published: (2025)
Similar Items
-
Open-Ended Instruction Realization with LLM-Enabled Multi-Planner Scheduling in Autonomous Vehicles
by: Liu, Jiawei, et al.
Published: (2026) -
DeFIX: Detecting and Fixing Failure Scenarios with Reinforcement Learning in Imitation Learning Based Autonomous Driving
by: Dagdanov, Resul, et al.
Published: (2022) -
Enhancing Autonomous Driving Safety with Collision Scenario Integration
by: Wang, Zi, et al.
Published: (2025) -
Hybrid Video Anomaly Detection for Anomalous Scenarios in Autonomous Driving
by: Bogdoll, Daniel, et al.
Published: (2024) -
Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Review
by: Shi, Yining, et al.
Published: (2023)