General Optimal Trajectory Planning: Enabling Autonomous Vehicles with the Principle of Least Action

[PDF] mdpi.com

Path Planning and Tracking Control of Tracked Agricultural Machinery Based on Improved A* and Fuzzy Control

L Liu, X Wang, X Wang, J Xie, H Liu, J Li, P Wang… - Electronics, 2024 - mdpi.com
In order to improve the efficiency of agricultural machinery operations and reduce production
costs, this article proposes a path planning algorithm based on the improved A* algorithm …
被引用次数：2 相关文章 所有 4 个版本
[PDF] arxiv.org

CSDO: Enhancing Efficiency and Success in Large-Scale Multi-Vehicle Trajectory Planning

Y Yang, S Xu, X Yan, J Jiang, J Wang… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper presents an efficient algorithm, naming Centralized Searching and Decentralized
Optimization (CSDO), to find feasible solution for large-scale Multi-Vehicle Trajectory …
相关文章 所有 2 个版本
[PDF] arxiv.org

Online Physical Enhanced Residual Learning for Connected Autonomous Vehicles Platoon Centralized Control

H Zhou, H Huang, P Zhang, H Shi, K Long… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper introduces an online physical enhanced residual learning (PERL) framework for
Connected Autonomous Vehicles (CAVs) platoon, aimed at addressing the challenges …
相关文章 所有 2 个版本