Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/70221
Title: Evolutionary approach for trajectory generation of Unmanned Aerial Vehicles (UAVs) over hostile terrain
Authors: Kan, E.M.
Ho, J.S.
Yeo, S.P. 
Shao, Z.H.
Keywords: B-splines
Evolutionary
Path planning
Unmanned Aerial Vehicles (UAVs)
Issue Date: 2010
Source: Kan, E.M.,Ho, J.S.,Yeo, S.P.,Shao, Z.H. (2010). Evolutionary approach for trajectory generation of Unmanned Aerial Vehicles (UAVs) over hostile terrain. 2010 International Conference on Computational Problem-Solving, ICCP 2010 : 51-54. ScholarBank@NUS Repository.
Abstract: This research focuses on point-to-point path generation algorithms that take into account the stealthiness of autonomous UAVs; generating stealthy paths through a region laden with enemy radars. The proposed approach assumes that the UAV has detailed information of the environment and the enemy radars in its vicinity. The evolutionary approach involves generating a preliminary cost-effective path consisting of a series of straight-line segments. The actual trajectory of the UAV is then refined using a series of cubic splines in lieu of the straight line segments, resulting in a cost-effective path traceable by the UAVs. The shape of the trajectory is approximated using cubic B-splines. Simulated results are presented, illustrating the potential benefits of such algorithms. ©Memetic Computing Society.
Source Title: 2010 International Conference on Computational Problem-Solving, ICCP 2010
URI: http://scholarbank.nus.edu.sg/handle/10635/70221
ISBN: 9789810863227
Appears in Collections:Staff Publications

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