UAV bezier curve maneuver planning using Genetic Algorithm

Machmudah, A. and Parman, S. and Zainuddin, A. (2010) UAV bezier curve maneuver planning using Genetic Algorithm. In: UNSPECIFIED.

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Abstract

This paper presents Unmanned Aerial Vehicle (UAV) path planning using a Genetic Algorithm (GA) in a static environment at constant altitude. The cubic Bezier curve is used as path reference. The GA will find a proper control points position such that a minimum-length feasible path will be achieved. An optimization objective is a minimum path length with constraints. There are two constraints that must be satisfied, a free collision and a minimum turning radius. Fuzzy rules are applied in fitness function to satisfy these constraints. It needs to detect collisions after the curvature is satisfied. Results show that the proposed algorithm succeeded to find the goal path. © 2010 ACM.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: cited By 3; Conference of 12th Annual Genetic and Evolutionary Computation Conference, GECCO-2010 ; Conference Date: 7 July 2010 Through 11 July 2010; Conference Code:81467
Uncontrolled Keywords: AS paths; Bezier curve; Constant altitude; Control point; Cubic Bezier curve; Fitness functions; Maneuver planning; Path length; Path-planning; Static environment; Turning radius, Function evaluation; Remotely operated vehicles; Unmanned aerial vehicles (UAV), Genetic algorithms
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 15:49
Last Modified: 09 Nov 2023 15:49
URI: https://khub.utp.edu.my/scholars/id/eprint/1182

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