Global path planning for autonomous vehicles in off-road environment via an A-star algorithm

Author:

Liu Qinghe,Zhao Lijun,Tan Zhibin,Chen Wen

Publisher

Inderscience Publishers

Subject

Electrical and Electronic Engineering,Automotive Engineering,Control and Systems Engineering

Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multi-Agent Pathfinding with Obstacle Movement for Realistic Virtual Tactical Simulations on Topographic Terrains;2023 IEEE Symposium Series on Computational Intelligence (SSCI);2023-12-05

2. Efficient Reliability-Based Path Planning of Off-Road Autonomous Ground Vehicles Through the Coupling of Surrogate Modeling and RRT*;IEEE Transactions on Intelligent Transportation Systems;2023-12

3. A review of intelligent vehicle motion planning algorithms;Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023);2023-10-10

4. Comparison of Modeling Methods for Off-Road Tires;Machines;2023-06-19

5. Global Path Planning of UGVs in Large-Scale Off-Road Environment Based on Improved A-star Algorithm and Quadratic Programming;2023 IEEE Intelligent Vehicles Symposium (IV);2023-06-04

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