Cover Image

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Wenru, Song, Yongkang, Meng, Chengzhen, Huang, Zhiyu, Liu, Haochen, Lv, Chen, Ma, Jun
Format:	Preprint
Published:	2024
Subjects:	Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Integrated Intention Prediction and Decision-Making with Spectrum Attention Net and Proximal Policy Optimization
by: Zhou, Xiao, et al.
Published: (2024)

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles
by: Liu, Wenru, et al.
Published: (2024)

DSDrive: Distilling Large Language Model for Lightweight End-to-End Autonomous Driving with Unified Reasoning and Planning
by: Liu, Wenru, et al.
Published: (2025)

A Universal Multi-Vehicle Cooperative Decision-Making Approach in Structured Roads by Mixed-Integer Potential Game
by: Meng, Chengzhen, et al.
Published: (2024)

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving
by: Xin, Ren, et al.
Published: (2025)

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving
by: Liu, Haochen, et al.
Published: (2025)

Hybrid-Prediction Integrated Planning for Autonomous Driving
by: Liu, Haochen, et al.
Published: (2024)

Autonomous Vehicle Controllers From End-to-End Differentiable Simulation
by: Nachkov, Asen, et al.
Published: (2024)

A Physics-informed End-to-End Occupancy Framework for Motion Planning of Autonomous Vehicles
by: Shen, Shuqi, et al.
Published: (2025)

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

Interpretable Decision-Making for End-to-End Autonomous Driving
by: Mirzaie, Mona, et al.
Published: (2025)

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

Don't Shake the Wheel: Momentum-Aware Planning in End-to-End Autonomous Driving
by: Song, Ziying, et al.
Published: (2025)

An End-to-End Learning-Based Multi-Sensor Fusion for Autonomous Vehicle Localization
by: Lin, Changhong, et al.
Published: (2025)

FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving
by: Wang, Baoyun, et al.
Published: (2026)

Distributional Reinforcement Learning based Integrated Decision Making and Control for Autonomous Surface Vehicles
by: Lin, Xi, et al.
Published: (2024)

Utilizing Navigation Paths to Generate Target Points for Enhanced End-to-End Autonomous Driving Planning
by: Shen, Yuanhua, et al.
Published: (2024)

End-to-End Steering for Autonomous Vehicles via Conditional Imitation Co-Learning
by: Kishky, Mahmoud M., et al.
Published: (2024)

An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios
by: Parada, Leandro, et al.
Published: (2024)

Prioritizing Perception-Guided Self-Supervision: A New Paradigm for Causal Modeling in End-to-End Autonomous Driving
by: Huang, Yi, et al.
Published: (2025)

Enhance Planning with Physics-informed Safety Controller for End-to-end Autonomous Driving
by: Zhou, Hang, et al.
Published: (2024)

A Universal Cooperative Decision-Making Framework for Connected Autonomous Vehicles with Generic Road Topologies
by: Huang, Zhenmin, et al.
Published: (2024)

SEG-Parking: Towards Safe, Efficient, and Generalizable Autonomous Parking via End-to-End Offline Reinforcement Learning
by: Yang, Zewei, et al.
Published: (2025)

ARTEMIS: Autoregressive End-to-End Trajectory Planning with Mixture of Experts for Autonomous Driving
by: Feng, Renju, et al.
Published: (2025)

PlanScope: Learning to Plan Within Decision Scope for Urban Autonomous Driving
by: Xin, Ren, et al.
Published: (2024)

Parallel Optimization with Hard Safety Constraints for Cooperative Planning of Connected Autonomous Vehicles
by: Huang, Zhenmin, et al.
Published: (2023)

CoDriveVLM: VLM-Enhanced Urban Cooperative Dispatching and Motion Planning for Future Autonomous Mobility on Demand Systems
by: Liu, Haichao, et al.
Published: (2025)

PIE: Perception and Interaction Enhanced End-to-End Motion Planning for Autonomous Driving
by: Yuan, Chengran, et al.
Published: (2025)

Learning Online Belief Prediction for Efficient POMDP Planning in Autonomous Driving
by: Huang, Zhiyu, et al.
Published: (2024)

FocalAD: Local Motion Planning for End-to-End Autonomous Driving
by: Sun, Bin, et al.
Published: (2025)

DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving
by: Huang, Zhiyu, et al.
Published: (2023)

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

PRIX: Learning to Plan from Raw Pixels for End-to-End Autonomous Driving
by: Wozniak, Maciej K., 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)

Integrated Decision Making and Trajectory Planning for Autonomous Driving Under Multimodal Uncertainties: A Bayesian Game Approach
by: Huang, Zhenmin, et al.
Published: (2024)

MDrive: Benchmarking Closed-Loop Cooperative Driving for End-to-End Multi-agent Systems
by: Coscoy, Marco, et al.
Published: (2026)

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

Unleashing the Potential of Diffusion Models for End-to-End Autonomous Driving
by: Zheng, Yinan, et al.
Published: (2026)

Pre-trained Transformer-Enabled Strategies with Human-Guided Fine-Tuning for End-to-end Navigation of Autonomous Vehicles
by: Hu, Dong, et al.
Published: (2024)

MVAdapt: Zero-Shot Multi-Vehicle Adaptation for End-to-End Autonomous Driving
by: Oh, Haesung, et al.
Published: (2026)