Imagen de Portada

Drive-JEPA: Video JEPA Meets Multimodal Trajectory Distillation for End-to-End Driving

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wang, Linhan, Yang, Zichong, Bai, Chen, Zhang, Guoxiang, Liu, Xiaotong, Zheng, Xiaoyin, Long, Xiao-Xiao, Lu, Chang-Tien, Lu, Cheng
Formato:	Preprint
Publicado:	2026
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

GoalFlow: Goal-Driven Flow Matching for Multimodal Trajectories Generation in End-to-End Autonomous Driving
por: Xing, Zebin, et al.
Publicado: (2025)

Drive&Gen: Co-Evaluating End-to-End Driving and Video Generation Models
por: Wang, Jiahao, et al.
Publicado: (2025)

NavigScene: Bridging Local Perception and Global Navigation for Beyond-Visual-Range Autonomous Driving
por: Peng, Qucheng, et al.
Publicado: (2025)

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

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

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

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

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model
por: Yu, Rui, et al.
Publicado: (2025)

Guiding Attention in End-to-End Driving Models
por: Porres, Diego, et al.
Publicado: (2024)

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

ViLaD: A Large Vision Language Diffusion Framework for End-to-End Autonomous Driving
por: Cui, Can, et al.
Publicado: (2025)

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving
por: Rodríguez-Vidal, Jorge Daniel, et al.
Publicado: (2026)

JEPA-VLA: Video Predictive Embedding is Needed for VLA Models
por: Miao, Shangchen, et al.
Publicado: (2026)

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

Social-JEPA: Emergent Geometric Isomorphism
por: Zhang, Haoran, et al.
Publicado: (2026)

LMGenDrive: Bridging Multimodal Understanding and Generative World Modeling for End-to-End Driving
por: Shao, Hao, et al.
Publicado: (2026)

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

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

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models
por: Cho, Hoonhee, et al.
Publicado: (2026)

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

Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation
por: Li, Kailin, et al.
Publicado: (2025)

Future-Aware End-to-End Driving: Bidirectional Modeling of Trajectory Planning and Scene Evolution
por: Zhang, Bozhou, et al.
Publicado: (2025)

DriveGazen: Event-Based Driving Status Recognition using Conventional Camera
por: Yang, Xiaoyin
Publicado: (2024)

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

World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World Model
por: Zheng, Yupeng, et al.
Publicado: (2025)

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

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

MindDrive: An All-in-One Framework Bridging World Models and Vision-Language Model for End-to-End Autonomous Driving
por: Sun, Bin, et al.
Publicado: (2025)

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

DiffRefiner: Coarse to Fine Trajectory Planning via Diffusion Refinement with Semantic Interaction for End to End Autonomous Driving
por: Yin, Liuhan, et al.
Publicado: (2025)

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

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

DriveSuprim: Towards Precise Trajectory Selection for End-to-End Planning
por: Yao, Wenhao, et al.
Publicado: (2025)

VECTOR-Drive: Tightly Coupled Vision-Language and Trajectory Expert Routing for End-to-End Autonomous Driving
por: Zhao, Rui, et al.
Publicado: (2026)

Beyond Imitation: Constraint-Aware Trajectory Generation with Flow Matching For End-to-End Autonomous Driving
por: Liu, Lin, et al.
Publicado: (2025)

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

DriveCoT: Integrating Chain-of-Thought Reasoning with End-to-End Driving
por: Wang, Tianqi, et al.
Publicado: (2024)

ZTRS: Zero-Imitation End-to-end Autonomous Driving with Trajectory Scoring
por: Li, Zhenxin, et al.
Publicado: (2025)

Towards Fully Decoupled End-to-End Person Search
por: Zhang, Pengcheng, et al.
Publicado: (2023)

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