:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Han, Yuxuan, Wu, Kunyuan, Shao, Qianyi, Xiao, Renxiang, Wang, Zilu, Jiang, Cansen, Xiao, Yi, Hu, Liang, Lou, Yunjiang
Formato:	Preprint
Publicado:	2026
Materias:	Robotics Artificial Intelligence
Acceso en línea:	https://arxiv.org/abs/2602.04256
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

LiDAR Teach, Radar Repeat: Robust Cross-Modal Navigation in Degenerate and Varying Environments
por: Xiao, Renxiang, et al.
Publicado: (2026)

VLM-Augmented Degradation Modeling for Image Restoration Under Adverse Weather Conditions
por: Shao, Qianyi, et al.
Publicado: (2025)

Perception in Plan: Coupled Perception and Planning for End-to-End Autonomous Driving
por: Zhang, Bozhou, et al.
Publicado: (2025)

Rad-GS: Radar-Vision Integration for 3D Gaussian Splatting SLAM in Outdoor Environments
por: Xiao, Renxiang, et al.
Publicado: (2025)

VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision
por: Xu, Yi, et al.
Publicado: (2024)

VDT-Auto: End-to-end Autonomous Driving with VLM-Guided Diffusion Transformers
por: Guo, Ziang, et al.
Publicado: (2025)

TrajDiff: End-to-end Autonomous Driving without Perception Annotation
por: Gui, Xingtai, et al.
Publicado: (2025)

PIE: Perception and Interaction Enhanced End-to-End Motion Planning for Autonomous Driving
por: Yuan, Chengran, et al.
Publicado: (2025)

Enhance Planning with Physics-informed Safety Controller for End-to-end Autonomous Driving
por: Zhou, Hang, et al.
Publicado: (2024)

Drive in Corridors: Enhancing the Safety of End-to-end Autonomous Driving via Corridor Learning and Planning
por: Zhang, Zhiwei, et al.
Publicado: (2025)

Enhancing End-to-End Autonomous Driving with Risk Semantic Distillaion from VLM
por: Qin, Jack, et al.
Publicado: (2025)

LeAD: The LLM Enhanced Planning System Converged with End-to-end Autonomous Driving
por: Zhang, Yuhang, et al.
Publicado: (2025)

DynRsl-VLM: Enhancing Autonomous Driving Perception with Dynamic Resolution Vision-Language Models
por: Zhou, Xirui, et al.
Publicado: (2025)

PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous Driving
por: Chen, Zhili, et al.
Publicado: (2023)

OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model
por: Zhou, Xingcheng, et al.
Publicado: (2025)

DINO Pre-training for Vision-based End-to-end Autonomous Driving
por: Juneja, Shubham, et al.
Publicado: (2024)

GraphAD: Interaction Scene Graph for End-to-end Autonomous Driving
por: Zhang, Yunpeng, et al.
Publicado: (2024)

LiV-GS: LiDAR-Vision Integration for 3D Gaussian Splatting SLAM in Outdoor Environments
por: Xiao, Renxiang, et al.
Publicado: (2024)

End-to-end Autonomous Driving: Challenges and Frontiers
por: Chen, Li, et al.
Publicado: (2023)

DriveAgent-R1: Advancing VLM-based Autonomous Driving with Active Perception and Hybrid Thinking
por: Zheng, Weicheng, et al.
Publicado: (2025)

Pre-Trained Vision Models as Perception Backbones for Safety Filters in Autonomous Driving
por: Yang, Yuxuan, et al.
Publicado: (2024)

VLM-E2E: Enhancing End-to-End Autonomous Driving with Multimodal Driver Attention Fusion
por: Liu, Pei, et al.
Publicado: (2025)

Percept-WAM: Perception-Enhanced World-Awareness-Action Model for Robust End-to-End Autonomous Driving
por: Han, Jianhua, et al.
Publicado: (2025)

AlignDrive: Aligned Lateral-Longitudinal Planning for End-to-End Autonomous Driving
por: Wu, Yanhao, et al.
Publicado: (2026)

Module-wise Adaptive Adversarial Training for End-to-end Autonomous Driving
por: Zhang, Tianyuan, et al.
Publicado: (2024)

CorrectAD: A Self-Correcting Agentic System to Improve End-to-end Planning in Autonomous Driving
por: Ma, Enhui, et al.
Publicado: (2025)

SimpleVSF: VLM-Scoring Fusion for Trajectory Prediction of End-to-End Autonomous Driving
por: Zheng, Peiru, et al.
Publicado: (2025)

Robust Dynamic Control Barrier Function Based Trajectory Planning for Mobile Manipulator
por: Xu, Lihao, et al.
Publicado: (2024)

DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models
por: Tian, Xiaoyu, et al.
Publicado: (2024)

DRAMA: An Efficient End-to-end Motion Planner for Autonomous Driving with Mamba
por: Yuan, Chengran, et al.
Publicado: (2024)

DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving
por: Yang, Zhenjie, et al.
Publicado: (2025)

HENet++: Hybrid Encoding and Multi-task Learning for 3D Perception and End-to-end Autonomous Driving
por: Xia, Zhongyu, et al.
Publicado: (2025)

CoDriveVLM: VLM-Enhanced Urban Cooperative Dispatching and Motion Planning for Future Autonomous Mobility on Demand Systems
por: Liu, Haichao, et al.
Publicado: (2025)

ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving
por: Lu, Han, et al.
Publicado: (2024)

Closing the Navigation Compliance Gap in End-to-end Autonomous Driving
por: Wu, Hanfeng, et al.
Publicado: (2025)

V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models
por: You, Junwei, et al.
Publicado: (2024)

Risk Map As Middleware: Towards Interpretable Cooperative End-to-end Autonomous Driving for Risk-Aware Planning
por: Lei, Mingyue, et al.
Publicado: (2025)

Senna-2: Aligning VLM and End-to-End Driving Policy for Consistent Decision Making and Planning
por: Song, Yuehao, et al.
Publicado: (2026)

Documentation Retrieval Improves Planning Language Generation
por: Wang, Renxiang, et al.
Publicado: (2025)

Cognitive-Hierarchy Guided End-to-End Planning for Autonomous Driving
por: Wang, Zhennan, et al.
Publicado: (2025)