Ho Jiun Sien

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In this work, we focus on multiple waypoints planning that take into account the stealthiness of autonomous UAVs; generating stealthy waypoints through a region laden with enemy radars. The important goal of waypoint planning for Unmanned Aerial Vehicles (UAVs) is to generate an optimal path for UAVs to visit all of the specified waypoints. We use the(More)
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(More)
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