Cooperative route planning algorithm for unmanned air vehicles based on evolutionary computation

Jiangjiang Yan; Mingyue Ding; Chengping Zhou; Chao Cai

doi:10.1117/12.749301

14 November 2007 Cooperative route planning algorithm for unmanned air vehicles based on evolutionary computation

Jiangjiang Yan, Mingyue Ding, Chengping Zhou, Chao Cai

Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67904H (2007) https://doi.org/10.1117/12.749301
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

This paper presents a method that utilizes an evolutionary computation to design a hierarchical and off-line route planner for multiple Unmanned Aerial Vehicles (UAVs) coordinated navigation in known static environments. Considering the problem of having a number of UAVs starting from different known initial locations, our approach can produce 3-D trajectories composed by a set of successive navigation points with a desirable velocity distribution along each trajectory, aiming at reaching a predetermined target location, while ensuring collision avoidance either with the environmental obstacles or with the UAVs and satisfying specific route and coordination constraints and objectives. The experiment results demonstrate the feasibility of the method.

Citation Download Citation

Jiangjiang Yan, Mingyue Ding, Chengping Zhou, and Chao Cai "Cooperative route planning algorithm for unmanned air vehicles based on evolutionary computation", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67904H (14 November 2007); https://doi.org/10.1117/12.749301

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