Path planning for terrestrial platform based on A-star algorithm
Bochuan Jiang, Yueping Wang, Zhiqiang Zhao · Advances in computer science research · 2015
Terrestrial platform mobility is different from that of aerial platform, for the former involves complex geographical elements such as mountainous and potamic terrain.It is also different from intelligent robot mobility on a given plane, as safety factor in simulated military countermining environment should be calculated in terrestrial platform.Concerning path planning problems for terrestrial platform, this paper combines A-star algorithm with factors of safety and passableness, designs a heuristic function and sets up models, in order to propose an optimal path planning method for land armies under practical circumstances.Thus with known antagonistic situation and geographical mapping data in a large-scale military simulation, land military units are able to plan the optimal path to reach the target point through real-time computation.Processes of the algorithm are provided, as well as simulated experiments that validate the performance of the proposed algorithm.