:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Xiangyu, Wang, Chen, Liu, Yumao, He, Dengbo, Zhang, Jiahao, Ma, Ke
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2511.14185
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction
by: Liu, Yumao, et al.
Published: (2026)

Active Learning from Scene Embeddings for End-to-End Autonomous Driving
by: Jiang, Wenhao, et al.
Published: (2025)

End-to-End Autonomous Driving without Costly Modularization and 3D Manual Annotation
by: Guo, Mingzhe, et al.
Published: (2024)

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving
by: Liao, Bencheng, et al.
Published: (2024)

Enhancing End-to-End Autonomous Driving with Latent World Model
by: Li, Yingyan, et al.
Published: (2024)

OpenREAD: Reinforced Open-Ended Reasoning for End-to-End Autonomous Driving with LLM-as-Critic
by: Zhang, Songyan, et al.
Published: (2025)

ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving
by: Li, Yongkang, et al.
Published: (2025)

SparseAD: Sparse Query-Centric Paradigm for Efficient End-to-End Autonomous Driving
by: Zhang, Diankun, et al.
Published: (2024)

Structured Labeling Enables Faster Vision-Language Models for End-to-End Autonomous Driving
by: Jiang, Hao, et al.
Published: (2025)

iPad: Iterative Proposal-centric End-to-End Autonomous Driving
by: Guo, Ke, et al.
Published: (2025)

Exploring the Causality of End-to-End Autonomous Driving
by: Li, Jiankun, et al.
Published: (2024)

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving
by: Chen, Xuesong, et al.
Published: (2025)

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

End-to-End Driving with Online Trajectory Evaluation via BEV World Model
by: Li, Yingyan, et al.
Published: (2025)

End-to-End Visual Autonomous Parking via Control-Aided Attention
by: Chen, Chao, et al.
Published: (2025)

GenAD: Generative End-to-End Autonomous Driving
by: Zheng, Wenzhao, et al.
Published: (2024)

Unraveling the Effects of Synthetic Data on End-to-End Autonomous Driving
by: Ge, Junhao, et al.
Published: (2025)

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

Beyond Imitation: Learning Safe End-to-End Autonomous Driving from Hard Negatives
by: Wang, Junli, et al.
Published: (2026)

Generative Planning with 3D-vision Language Pre-training for End-to-End Autonomous Driving
by: Li, Tengpeng, et al.
Published: (2025)

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction
by: Ma, Jiahao, et al.
Published: (2025)

ResWorld: Temporal Residual World Model for End-to-End Autonomous Driving
by: Zhang, Jinqing, et al.
Published: (2026)

DriveDPO: Policy Learning via Safety DPO For End-to-End Autonomous Driving
by: Shang, Shuyao, et al.
Published: (2025)

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning
by: Jiang, Bo, et al.
Published: (2024)

ParkingScenes: A Structured Dataset for End-to-End Autonomous Parking in Simulation Scenes
by: Chen, Haonan, et al.
Published: (2026)

Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving
by: Jiang, Bo, et al.
Published: (2024)

Fully Unified Motion Planning for End-to-End Autonomous Driving
by: Liu, Lin, et al.
Published: (2025)

Towards Collaborative Autonomous Driving: Simulation Platform and End-to-End System
by: Liu, Genjia, et al.
Published: (2024)

FutureX: Enhance End-to-End Autonomous Driving via Latent Chain-of-Thought World Model
by: Lin, Hongbin, et al.
Published: (2025)

On the Road to Portability: Compressing End-to-End Motion Planner for Autonomous Driving
by: Feng, Kaituo, et al.
Published: (2024)

LMAD: Integrated End-to-End Vision-Language Model for Explainable Autonomous Driving
by: Song, Nan, et al.
Published: (2025)

UAV-DETR: Efficient End-to-End Object Detection for Unmanned Aerial Vehicle Imagery
by: Zhang, Huaxiang, et al.
Published: (2025)

Generative Scenario Rollouts for End-to-End Autonomous Driving
by: Yasarla, Rajeev, et al.
Published: (2026)

ExploreVLA: Dense World Modeling and Exploration for End-to-End Autonomous Driving
by: Sheng, Zihao, et al.
Published: (2026)

ResAD: Normalized Residual Trajectory Modeling for End-to-End Autonomous Driving
by: Zheng, Zhiyu, et al.
Published: (2025)

SparseWorld: Enhancing End-to-End Autonomous Driving via World Models with Sparse Scene Representation
by: Wang, Ruoyu, et al.
Published: (2026)

Adversarial Flow Matching for Imperceptible Attacks on End-to-End Autonomous Driving
by: Zeng, Xinyu, et al.
Published: (2026)

Driving with A Thousand Faces: A Benchmark for Closed-Loop Personalized End-to-End Autonomous Driving
by: Dong, Xiaoru, et al.
Published: (2026)

WiseAD: Knowledge Augmented End-to-End Autonomous Driving with Vision-Language Model
by: Zhang, Songyan, et al.
Published: (2024)

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