Path planning for terrestrial platform based on A-star algorithm
Bochuan Jiang, Yueping Wang, Zhiqiang Zhao
Available Online April 2015.
- https://doi.org/10.2991/icmra-15.2015.81How to use a DOI?
- military simulation; terrestrial platform; optimal path planning; A-star algorithm
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Bochuan Jiang AU - Yueping Wang AU - Zhiqiang Zhao PY - 2015/04 DA - 2015/04 TI - Path planning for terrestrial platform based on A-star algorithm BT - Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation PB - Atlantis Press SP - 409 EP - 414 SN - 2352-538X UR - https://doi.org/10.2991/icmra-15.2015.81 DO - https://doi.org/10.2991/icmra-15.2015.81 ID - Jiang2015/04 ER -