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Proceedings Paper

Real-time 3D route planner for unmanned air vehicles
Author(s): Changwen Zheng; Chengping Zhou; Mingyue Ding
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Paper Abstract

The ability of accurately and efficiently planning safe routes that achieve mission goals in a timely fashion is a requirement for many diverse applications, including military operations. Standard route planning algorithms usually generate a minimum cost route based on a predetermined cost function. Unfortunately, such a route may not represent a desirable solution for different military scenarios. In this paper, we present a 3D route planer for unmanned air vehicles based on Lagrange Programming Neural Networks. Our approach can efficiently handle various constraints on the resultant route, such as minimum route leg length, maximum route length, maximum turning angle, maximum climbing/diving angle, minimum flight height.

Paper Details

Date Published: 25 September 2001
PDF: 6 pages
Proc. SPIE 4553, Visualization and Optimization Techniques, (25 September 2001); doi: 10.1117/12.441580
Show Author Affiliations
Changwen Zheng, Huazhong Univ. of Science and Technology (China)
Chengping Zhou, Huazhong Univ. of Science and Technology (China)
Mingyue Ding, Huazhong Univ. of Science and Technology (Canada)

Published in SPIE Proceedings Vol. 4553:
Visualization and Optimization Techniques

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