Authors: Long Zhuo-Qun
Addresses: School of Electronic Engineering, Xi'an Aeronautical University, Xi'an, China
Abstract: The thesis makes vehicle in cross-country environment as research object, and uses improved ant colony algorithm to research and analyse the cross-county path planning. First, improved ant colony algorithm is used to research cross-county path planning of vehicle, then slope table and roughness table are introduced to analyse topographic slope and land surface property's affect on path planning, and path optimisation algorithm is designed considering restriction of slop and roughness. Simulation result shows that this algorithm can realise cross-county path planning with speediness and efficiency. Experimental result demonstrates that the improved ant colony algorithm has stronger feasibility and better searching capability.
Keywords: path planning of robot; land surface property; optimal method; ant colony.
International Journal of Reasoning-based Intelligent Systems, 2018 Vol.10 No.2, pp.122 - 127
Available online: 24 May 2018 *Full-text access for editors Access for subscribers Purchase this article Comment on this article