Journal of Intelligent Learning Systems and Applications · 2011 · 18 citations · 17 references
ComputingAutonomous SystemsRobotics EngineeringAerial RoboticsOptimizationPath PlanningContour GenerationMission PlanningNavigation PlanningRobot NavigationTrajectory GenerationTrajectory OptimizationControl PointsFlight Path PlanningRobot Trajectory GenerationSafe Trajectory GenerationSafe Trajectory PlanningSpline-based Trajectory GenerationSplinesTrajectory Planning
This research focuses on trajectory generation algorithms that take into account the stealthiness of autonomous UAVs; generating stealthy paths through a region laden with enemy radars. 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 represented with a set of low-radar risk waypoints being the coordinates of its control points. The radar-aware path planner is then approximated using cubic B-splines by considering the least radar risk to the destination. Simulated results are presented, illustrating the potential benefits of such algorithms.
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A proposition on memes and meta-memes in computing for higher-order learning
Ryan Meuth, Meng‐Hiot Lim, Yew-Soon Ong et al. · Memetic Computing · 2009 · 124 citations