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Path planning problem is one of core contents of UAV technology. This paper presents an improved heuristic algorithm to solve 3D path planning problem. In this study the path planning model is built based on digital map firstly, and then the virtual terrain is introduced to eliminate a significant amount of search space, from 3-Dimensions to 2-Dimensions. Subsequently the improved heuristic A* algorithm...
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...
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 Traveling Salesman Problems (TSP) optimization...
In this paper, we present a contour based path planner for Unmanned Aerial Vehicles (UAVs).We make use of efficient algorithm to compute a stealthy path line with desired attributes in radar prone environments. The algorithm is employed to estimate the risk cost of the navigational space and generate an optimized path based on the user-specified threshold altitude value. Thus the generated path is...
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