Saved in:
| Main Authors: | Han, Yuxuan, Wu, Kunyuan, Shao, Qianyi, Xiao, Renxiang, Wang, Zilu, Jiang, Cansen, Xiao, Yi, Hu, Liang, Lou, Yunjiang |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.04256 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LiDAR Teach, Radar Repeat: Robust Cross-Modal Navigation in Degenerate and Varying Environments
by: Xiao, Renxiang, et al.
Published: (2026)
by: Xiao, Renxiang, et al.
Published: (2026)
VLM-Augmented Degradation Modeling for Image Restoration Under Adverse Weather Conditions
by: Shao, Qianyi, et al.
Published: (2025)
by: Shao, Qianyi, et al.
Published: (2025)
Perception in Plan: Coupled Perception and Planning for End-to-End Autonomous Driving
by: Zhang, Bozhou, et al.
Published: (2025)
by: Zhang, Bozhou, et al.
Published: (2025)
Rad-GS: Radar-Vision Integration for 3D Gaussian Splatting SLAM in Outdoor Environments
by: Xiao, Renxiang, et al.
Published: (2025)
by: Xiao, Renxiang, et al.
Published: (2025)
VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision
by: Xu, Yi, et al.
Published: (2024)
by: Xu, Yi, et al.
Published: (2024)
VDT-Auto: End-to-end Autonomous Driving with VLM-Guided Diffusion Transformers
by: Guo, Ziang, et al.
Published: (2025)
by: Guo, Ziang, et al.
Published: (2025)
TrajDiff: End-to-end Autonomous Driving without Perception Annotation
by: Gui, Xingtai, et al.
Published: (2025)
by: Gui, Xingtai, et al.
Published: (2025)
PIE: Perception and Interaction Enhanced End-to-End Motion Planning for Autonomous Driving
by: Yuan, Chengran, et al.
Published: (2025)
by: Yuan, Chengran, et al.
Published: (2025)
Enhance Planning with Physics-informed Safety Controller for End-to-end Autonomous Driving
by: Zhou, Hang, et al.
Published: (2024)
by: Zhou, Hang, et al.
Published: (2024)
Drive in Corridors: Enhancing the Safety of End-to-end Autonomous Driving via Corridor Learning and Planning
by: Zhang, Zhiwei, et al.
Published: (2025)
by: Zhang, Zhiwei, et al.
Published: (2025)
Enhancing End-to-End Autonomous Driving with Risk Semantic Distillaion from VLM
by: Qin, Jack, et al.
Published: (2025)
by: Qin, Jack, et al.
Published: (2025)
LeAD: The LLM Enhanced Planning System Converged with End-to-end Autonomous Driving
by: Zhang, Yuhang, et al.
Published: (2025)
by: Zhang, Yuhang, et al.
Published: (2025)
DynRsl-VLM: Enhancing Autonomous Driving Perception with Dynamic Resolution Vision-Language Models
by: Zhou, Xirui, et al.
Published: (2025)
by: Zhou, Xirui, et al.
Published: (2025)
PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous Driving
by: Chen, Zhili, et al.
Published: (2023)
by: Chen, Zhili, et al.
Published: (2023)
OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model
by: Zhou, Xingcheng, et al.
Published: (2025)
by: Zhou, Xingcheng, et al.
Published: (2025)
DINO Pre-training for Vision-based End-to-end Autonomous Driving
by: Juneja, Shubham, et al.
Published: (2024)
by: Juneja, Shubham, et al.
Published: (2024)
GraphAD: Interaction Scene Graph for End-to-end Autonomous Driving
by: Zhang, Yunpeng, et al.
Published: (2024)
by: Zhang, Yunpeng, et al.
Published: (2024)
LiV-GS: LiDAR-Vision Integration for 3D Gaussian Splatting SLAM in Outdoor Environments
by: Xiao, Renxiang, et al.
Published: (2024)
by: Xiao, Renxiang, et al.
Published: (2024)
End-to-end Autonomous Driving: Challenges and Frontiers
by: Chen, Li, et al.
Published: (2023)
by: Chen, Li, et al.
Published: (2023)
DriveAgent-R1: Advancing VLM-based Autonomous Driving with Active Perception and Hybrid Thinking
by: Zheng, Weicheng, et al.
Published: (2025)
by: Zheng, Weicheng, et al.
Published: (2025)
Pre-Trained Vision Models as Perception Backbones for Safety Filters in Autonomous Driving
by: Yang, Yuxuan, et al.
Published: (2024)
by: Yang, Yuxuan, et al.
Published: (2024)
VLM-E2E: Enhancing End-to-End Autonomous Driving with Multimodal Driver Attention Fusion
by: Liu, Pei, et al.
Published: (2025)
by: Liu, Pei, et al.
Published: (2025)
Percept-WAM: Perception-Enhanced World-Awareness-Action Model for Robust End-to-End Autonomous Driving
by: Han, Jianhua, et al.
Published: (2025)
by: Han, Jianhua, et al.
Published: (2025)
AlignDrive: Aligned Lateral-Longitudinal Planning for End-to-End Autonomous Driving
by: Wu, Yanhao, et al.
Published: (2026)
by: Wu, Yanhao, et al.
Published: (2026)
Module-wise Adaptive Adversarial Training for End-to-end Autonomous Driving
by: Zhang, Tianyuan, et al.
Published: (2024)
by: Zhang, Tianyuan, et al.
Published: (2024)
CorrectAD: A Self-Correcting Agentic System to Improve End-to-end Planning in Autonomous Driving
by: Ma, Enhui, et al.
Published: (2025)
by: Ma, Enhui, et al.
Published: (2025)
SimpleVSF: VLM-Scoring Fusion for Trajectory Prediction of End-to-End Autonomous Driving
by: Zheng, Peiru, et al.
Published: (2025)
by: Zheng, Peiru, et al.
Published: (2025)
Robust Dynamic Control Barrier Function Based Trajectory Planning for Mobile Manipulator
by: Xu, Lihao, et al.
Published: (2024)
by: Xu, Lihao, et al.
Published: (2024)
DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models
by: Tian, Xiaoyu, et al.
Published: (2024)
by: Tian, Xiaoyu, et al.
Published: (2024)
DRAMA: An Efficient End-to-end Motion Planner for Autonomous Driving with Mamba
by: Yuan, Chengran, et al.
Published: (2024)
by: Yuan, Chengran, et al.
Published: (2024)
DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving
by: Yang, Zhenjie, et al.
Published: (2025)
by: Yang, Zhenjie, et al.
Published: (2025)
HENet++: Hybrid Encoding and Multi-task Learning for 3D Perception and End-to-end Autonomous Driving
by: Xia, Zhongyu, et al.
Published: (2025)
by: Xia, Zhongyu, et al.
Published: (2025)
CoDriveVLM: VLM-Enhanced Urban Cooperative Dispatching and Motion Planning for Future Autonomous Mobility on Demand Systems
by: Liu, Haichao, et al.
Published: (2025)
by: Liu, Haichao, et al.
Published: (2025)
ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving
by: Lu, Han, et al.
Published: (2024)
by: Lu, Han, et al.
Published: (2024)
Closing the Navigation Compliance Gap in End-to-end Autonomous Driving
by: Wu, Hanfeng, et al.
Published: (2025)
by: Wu, Hanfeng, et al.
Published: (2025)
V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models
by: You, Junwei, et al.
Published: (2024)
by: You, Junwei, et al.
Published: (2024)
Risk Map As Middleware: Towards Interpretable Cooperative End-to-end Autonomous Driving for Risk-Aware Planning
by: Lei, Mingyue, et al.
Published: (2025)
by: Lei, Mingyue, et al.
Published: (2025)
Senna-2: Aligning VLM and End-to-End Driving Policy for Consistent Decision Making and Planning
by: Song, Yuehao, et al.
Published: (2026)
by: Song, Yuehao, et al.
Published: (2026)
Documentation Retrieval Improves Planning Language Generation
by: Wang, Renxiang, et al.
Published: (2025)
by: Wang, Renxiang, et al.
Published: (2025)
Cognitive-Hierarchy Guided End-to-End Planning for Autonomous Driving
by: Wang, Zhennan, et al.
Published: (2025)
by: Wang, Zhennan, et al.
Published: (2025)
Similar Items
-
LiDAR Teach, Radar Repeat: Robust Cross-Modal Navigation in Degenerate and Varying Environments
by: Xiao, Renxiang, et al.
Published: (2026) -
VLM-Augmented Degradation Modeling for Image Restoration Under Adverse Weather Conditions
by: Shao, Qianyi, et al.
Published: (2025) -
Perception in Plan: Coupled Perception and Planning for End-to-End Autonomous Driving
by: Zhang, Bozhou, et al.
Published: (2025) -
Rad-GS: Radar-Vision Integration for 3D Gaussian Splatting SLAM in Outdoor Environments
by: Xiao, Renxiang, et al.
Published: (2025) -
VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision
by: Xu, Yi, et al.
Published: (2024)