:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Songyan, Huang, Wenhui, Chen, Zhan, Collister, Chua Jiahao, Huang, Qihang, Lv, Chen
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	https://arxiv.org/abs/2512.01830
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

AutoMoT: A Unified Vision-Language-Action Model with Asynchronous Mixture-of-Transformers for End-to-End Autonomous Driving
di: Huang, Wenhui, et al.
Pubblicazione: (2026)

Towards Safe Mobility: A Unified Transportation Foundation Model enabled by Open-Ended Vision-Language Dataset
di: Huang, Wenhui, et al.
Pubblicazione: (2026)

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

OpenEMMA: Open-Source Multimodal Model for End-to-End Autonomous Driving
di: Xing, Shuo, et al.
Pubblicazione: (2024)

Is Ego Status All You Need for Open-Loop End-to-End Autonomous Driving?
di: Li, Zhiqi, et al.
Pubblicazione: (2023)

AD-R1: Closed-Loop Reinforcement Learning for End-to-End Autonomous Driving with Impartial World Models
di: Yan, Tianyi, et al.
Pubblicazione: (2025)

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

AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning
di: Zhou, Zewei, et al.
Pubblicazione: (2025)

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

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

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

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

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

DiffusionDriveV2: Reinforcement Learning-Constrained Truncated Diffusion Modeling in End-to-End Autonomous Driving
di: Zou, Jialv, et al.
Pubblicazione: (2025)

VLA-R: Vision-Language Action Retrieval toward Open-World End-to-End Autonomous Driving
di: Seong, Hyunki, et al.
Pubblicazione: (2025)

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

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

Unleashing Generalization of End-to-End Autonomous Driving with Controllable Long Video Generation
di: Ma, Enhui, et al.
Pubblicazione: (2024)

InsightDrive: Insight Scene Representation for End-to-End Autonomous Driving
di: Song, Ruiqi, et al.
Pubblicazione: (2025)

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

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

PAVE: An End-to-End Dataset for Production Autonomous Vehicle Evaluation
di: Li, Xiangyu, et al.
Pubblicazione: (2025)

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

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

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

ComDrive: Comfort-Oriented End-to-End Autonomous Driving
di: Wang, Junming, et al.
Pubblicazione: (2024)

DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving
di: Song, Ziying, et al.
Pubblicazione: (2025)

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

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

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

SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation
di: Sun, Wenchao, et al.
Pubblicazione: (2024)

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

DriveSafer: End-to-End Autonomous Driving with Safety Guidance
di: Sural, Shounak, et al.
Pubblicazione: (2026)

SparseDriveV2: Scoring is All You Need for End-to-End Autonomous Driving
di: Sun, Wenchao, et al.
Pubblicazione: (2026)

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

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

SimpleLLM4AD: An End-to-End Vision-Language Model with Graph Visual Question Answering for Autonomous Driving
di: Zheng, Peiru, et al.
Pubblicazione: (2024)

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

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

GaussianFusion: Gaussian-Based Multi-Sensor Fusion for End-to-End Autonomous Driving
di: Liu, Shuai, et al.
Pubblicazione: (2025)