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Proceedings Paper

Cooperative route planning algorithm for unmanned air vehicles based on evolutionary computation
Author(s): Jiangjiang Yan; Mingyue Ding; Chengping Zhou; Chao Cai
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Paper 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.

Paper Details

Date Published: 14 November 2007
PDF: 6 pages
Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67904H (14 November 2007); doi: 10.1117/12.749301
Show Author Affiliations
Jiangjiang Yan, Huazhong Univ. of Science and Technology (China)
Mingyue Ding, Huazhong Univ. of Science and Technology (China)
Chengping Zhou, Huazhong Univ. of Science and Technology (China)
Chao Cai, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 6790:
MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications

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