DriveDPO: Policy Learning via Safety DPO For End-to-End Autonomous Driving
Fuente:
arXiv
Saved in:
| Main Authors: | Shang, Shuyao, Chen, Yuntao, Wang, Yuqi, Li, Yingyan, Zhang, Zhaoxiang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enhancing End-to-End Autonomous Driving with Latent World Model
by: Li, Yingyan, et al.
Published: (2024)
by: Li, Yingyan, et al.
Published: (2024)
DynVLA: Learning World Dynamics for Action Reasoning in Autonomous Driving
by: Shang, Shuyao, et al.
Published: (2026)
by: Shang, Shuyao, et al.
Published: (2026)
DriveSafer: End-to-End Autonomous Driving with Safety Guidance
by: Sural, Shounak, et al.
Published: (2026)
by: Sural, Shounak, et al.
Published: (2026)
DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving
by: Liao, Bencheng, et al.
Published: (2024)
by: Liao, Bencheng, et al.
Published: (2024)
End-to-End Driving with Online Trajectory Evaluation via BEV World Model
by: Li, Yingyan, et al.
Published: (2025)
by: Li, Yingyan, et al.
Published: (2025)
ComDrive: Comfort-Oriented End-to-End Autonomous Driving
by: Wang, Junming, et al.
Published: (2024)
by: Wang, Junming, et al.
Published: (2024)
Exploring the Causality of End-to-End Autonomous Driving
by: Li, Jiankun, et al.
Published: (2024)
by: Li, Jiankun, et al.
Published: (2024)
ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving
by: Li, Yongkang, et al.
Published: (2025)
by: Li, Yongkang, et al.
Published: (2025)
VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning
by: Jiang, Bo, et al.
Published: (2024)
by: Jiang, Bo, et al.
Published: (2024)
AlignDrive: Aligned Lateral-Longitudinal Planning for End-to-End Autonomous Driving
by: Wu, Yanhao, et al.
Published: (2026)
by: Wu, Yanhao, et al.
Published: (2026)
Unraveling the Effects of Synthetic Data on End-to-End Autonomous Driving
by: Ge, Junhao, et al.
Published: (2025)
by: Ge, Junhao, et al.
Published: (2025)
Cognitive-Hierarchy Guided End-to-End Planning for Autonomous Driving
by: Wang, Zhennan, et al.
Published: (2025)
by: Wang, Zhennan, et al.
Published: (2025)
Beyond Imitation: Learning Safe End-to-End Autonomous Driving from Hard Negatives
by: Wang, Junli, et al.
Published: (2026)
by: Wang, Junli, et al.
Published: (2026)
ResAD: Normalized Residual Trajectory Modeling for End-to-End Autonomous Driving
by: Zheng, Zhiyu, et al.
Published: (2025)
by: Zheng, Zhiyu, et al.
Published: (2025)
Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving
by: Jia, Xiaosong, et al.
Published: (2024)
by: Jia, Xiaosong, et al.
Published: (2024)
Collision Risk Estimation via Loss Prediction in End-to-End Autonomous Driving
by: Xiong, Ziliang, et al.
Published: (2025)
by: Xiong, Ziliang, et al.
Published: (2025)
Bridging Past and Future: End-to-End Autonomous Driving with Historical Prediction and Planning
by: Zhang, Bozhou, et al.
Published: (2025)
by: Zhang, Bozhou, et al.
Published: (2025)
Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving
by: Jiang, Bo, et al.
Published: (2024)
by: Jiang, Bo, et al.
Published: (2024)
Latent-WAM: Latent World Action Modeling for End-to-End Autonomous Driving
by: Wang, Linbo, et al.
Published: (2026)
by: Wang, Linbo, et al.
Published: (2026)
RAD: Training an End-to-End Driving Policy via Large-Scale 3DGS-based Reinforcement Learning
by: Gao, Hao, et al.
Published: (2025)
by: Gao, Hao, et al.
Published: (2025)
DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving
by: Jia, Xiaosong, et al.
Published: (2025)
by: Jia, Xiaosong, et al.
Published: (2025)
Driving in Corner Case: A Real-World Adversarial Closed-Loop Evaluation Platform for End-to-End Autonomous Driving
by: Geng, Jiaheng, et al.
Published: (2025)
by: Geng, Jiaheng, et al.
Published: (2025)
DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model
by: Yu, Rui, et al.
Published: (2025)
by: Yu, Rui, et al.
Published: (2025)
GMF-Drive: Gated Mamba Fusion with Spatial-Aware BEV Representation for End-to-End Autonomous Driving
by: Wang, Jian, et al.
Published: (2025)
by: Wang, Jian, et al.
Published: (2025)
Enhancing End-to-End Autonomous Driving with Risk Semantic Distillaion from VLM
by: Qin, Jack, et al.
Published: (2025)
by: Qin, Jack, et al.
Published: (2025)
DriveCoT: Integrating Chain-of-Thought Reasoning with End-to-End Driving
by: Wang, Tianqi, et al.
Published: (2024)
by: Wang, Tianqi, et al.
Published: (2024)
DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model
by: Xu, Zhenhua, et al.
Published: (2023)
by: Xu, Zhenhua, et al.
Published: (2023)
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving
by: Zhang, Lingjun, et al.
Published: (2026)
by: Zhang, Lingjun, et al.
Published: (2026)
HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models
by: Cho, Hoonhee, et al.
Published: (2026)
by: Cho, Hoonhee, et al.
Published: (2026)
DriveE2E: Closed-Loop Benchmark for End-to-End Autonomous Driving through Real-to-Simulation
by: Yu, Haibao, et al.
Published: (2025)
by: Yu, Haibao, et al.
Published: (2025)
Using Ensemble Diffusion to Estimate Uncertainty for End-to-End Autonomous Driving
by: Wintel, Florian, et al.
Published: (2025)
by: Wintel, Florian, et al.
Published: (2025)
MAPLE: Latent Multi-Agent Play for End-to-End Autonomous Driving
by: Yasarla, Rajeev, et al.
Published: (2026)
by: Yasarla, Rajeev, et al.
Published: (2026)
DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving
by: Song, Ziying, et al.
Published: (2025)
by: Song, Ziying, et al.
Published: (2025)
DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving
by: Li, Yingyan, et al.
Published: (2025)
by: Li, Yingyan, et al.
Published: (2025)
GaussianFusion: Gaussian-Based Multi-Sensor Fusion for End-to-End Autonomous Driving
by: Liu, Shuai, et al.
Published: (2025)
by: Liu, Shuai, et al.
Published: (2025)
Enhanced Safety in Autonomous Driving: Integrating Latent State Diffusion Model for End-to-End Navigation
by: Chu, Detian, et al.
Published: (2024)
by: Chu, Detian, et al.
Published: (2024)
DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers
by: Chen, Yuntao, et al.
Published: (2024)
by: Chen, Yuntao, et al.
Published: (2024)
Data Scaling Laws for End-to-End Autonomous Driving
by: Naumann, Alexander, et al.
Published: (2025)
by: Naumann, Alexander, et al.
Published: (2025)
StyleDrive: Towards Driving-Style Aware Benchmarking of End-To-End Autonomous Driving
by: Hao, Ruiyang, et al.
Published: (2025)
by: Hao, Ruiyang, et al.
Published: (2025)
Mimir: Hierarchical Goal-Driven Diffusion with Uncertainty Propagation for End-to-End Autonomous Driving
by: Xing, Zebin, et al.
Published: (2025)
by: Xing, Zebin, et al.
Published: (2025)
Similar Items
-
Enhancing End-to-End Autonomous Driving with Latent World Model
by: Li, Yingyan, et al.
Published: (2024) -
DynVLA: Learning World Dynamics for Action Reasoning in Autonomous Driving
by: Shang, Shuyao, et al.
Published: (2026) -
DriveSafer: End-to-End Autonomous Driving with Safety Guidance
by: Sural, Shounak, et al.
Published: (2026) -
DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving
by: Liao, Bencheng, et al.
Published: (2024) -
End-to-End Driving with Online Trajectory Evaluation via BEV World Model
by: Li, Yingyan, et al.
Published: (2025)