Cover Image

SparseDriveV2: Scoring is All You Need for End-to-End Autonomous Driving

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sun, Wenchao, Lin, Xuewu, Chen, Keyu, Pei, Zixiang, Li, Xiang, Shi, Yining, Zheng, Sifa
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

DriveCamSim: Generalizable Camera Simulation via Explicit Camera Modeling for Autonomous Driving
by: Sun, Wenchao, et al.
Published: (2025)

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

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

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

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

Navigation-Guided Sparse Scene Representation for End-to-End Autonomous Driving
by: Li, Peidong, et al.
Published: (2024)

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

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

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

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

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

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

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

Neural Radiance Field in Autonomous Driving: A Survey
by: He, Lei, et al.
Published: (2024)

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

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

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

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)

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

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

Unified End-to-End V2X Cooperative Autonomous Driving
by: Li, Zhiwei, et al.
Published: (2024)

RoCA: Robust Cross-Domain End-to-End Autonomous Driving
by: Yasarla, Rajeev, et al.
Published: (2025)

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

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

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

SafeDrive: Fine-Grained Safety Reasoning for End-to-End Driving in a Sparse World
by: Kim, Jungho, et al.
Published: (2026)

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

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

End-to-End Autonomous Driving through V2X Cooperation
by: Yu, Haibao, et al.
Published: (2024)

MaskFuser: Masked Fusion of Joint Multi-Modal Tokenization for End-to-End Autonomous Driving
by: Duan, Yiqun, et al.
Published: (2024)

DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving
by: Jia, Xiaosong, et al.
Published: (2025)

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

Risk-Aware World Model Predictive Control for Generalizable End-to-End Autonomous Driving
by: Sun, Jiangxin, et al.
Published: (2026)

Latent-WAM: Latent World Action Modeling for End-to-End Autonomous Driving
by: Wang, Linbo, et al.
Published: (2026)

MAPLE: Latent Multi-Agent Play for End-to-End Autonomous Driving
by: Yasarla, Rajeev, et al.
Published: (2026)

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

DriveMamba: Task-Centric Scalable State Space Model for Efficient End-to-End Autonomous Driving
by: Su, Haisheng, 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)