Share Email Print
cover

Proceedings Paper

Cooperative path planning for multi-USV based on improved artificial bee colony algorithm
Author(s): Lu Cao; Qiwei Chen
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Due to the complex constraints, more uncertain factors and critical real-time demand of path planning for multiple unmanned surface vehicle (multi-USV), an improved artificial bee colony (I-ABC) algorithm were proposed to solve the model of cooperative path planning for multi-USV. First the Voronoi diagram of battle field space is conceived to generate the optimal area of USVs paths. Then the chaotic searching algorithm is used to initialize the collection of paths, which is regard as foods of the ABC algorithm. With the limited data, the initial collection can search the optimal area of paths perfectly. Finally simulations of the multi-USV path planning under various threats have been carried out. Simulation results verify that the I-ABC algorithm can improve the diversity of nectar source and the convergence rate of algorithm. It can increase the adaptability of dynamic battlefield and unexpected threats for USV.

Paper Details

Date Published: 8 March 2018
PDF: 8 pages
Proc. SPIE 10611, MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 106111G (8 March 2018); doi: 10.1117/12.2285623
Show Author Affiliations
Lu Cao, Yichang Testing Technique Research Institute (China)
Qiwei Chen, Yichang Testing Technique Research Institute (China)


Published in SPIE Proceedings Vol. 10611:
MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Nong Sang; Jie Ma; Zhong Chen, Editor(s)

© SPIE. Terms of Use
Back to Top