Evolutionary path planner for UAVs in realistic environments
Proceedings of the 10th annual conference on Genetic and evolutionary computation
3-D path planning for the navigation of unmanned aerial vehicles by using evolutionary algorithms
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Some aspects regarding the cooperative control problem for flying wing air vehicles
MMACTEE'08 Proceedings of the 10th WSEAS International Conference on Mathematical Methods and Computational Techniques in Electrical Engineering
Integration of Path/Maneuver Planning in Complex Environments for Agile Maneuvering UCAVs
Journal of Intelligent and Robotic Systems
An improved ant colony algorithm for UAV route planning in complex battlefield environment
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Multi-UCAV cooperative path planning using improved coevolutionary multi-ant-colony algorithm
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
Path planning algorithm for VTOL type UAVs based on the methods of ray tracing and limit cycle
CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
Evolutionary trajectory planner for multiple UAVs in realistic scenarios
IEEE Transactions on Robotics
A Minimum Risk Approach for Path Planning of UAVs
Journal of Intelligent and Robotic Systems
Feasible UAV path planning using genetic algorithms and Bézier curves
SBIA'10 Proceedings of the 20th Brazilian conference on Advances in artificial intelligence
Intelligent flight task algorithm for unmanned aerial vehicle
Expert Systems with Applications: An International Journal
Micro air vehicle path planning in fuzzy quadtree framework
Applied Soft Computing
Waypoint tracking of unmanned aerial vehicles using robust H2 / H? controller
International Journal of Systems, Control and Communications
Path Planning Strategies for UAVS in 3D Environments
Journal of Intelligent and Robotic Systems
Simultaneous sensor selection and routing of unmanned aerial vehicles for complex mission plans
Computers and Operations Research
On the performance comparison of multi-objective evolutionary UAV path planners
Information Sciences: an International Journal
3D Path Planning for Multiple UAVs for Maximum Information Collection
Journal of Intelligent and Robotic Systems
Journal of Intelligent and Robotic Systems
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An evolutionary algorithm based framework, a combination of modified breeder genetic algorithms incorporating characteristics of classic genetic algorithms, is utilized to design an offline/online path planner for unmanned aerial vehicles (UAVs) autonomous navigation. The path planner calculates a curved path line with desired characteristics in a three-dimensional (3-D) rough terrain environment, represented using B-spline curves, with the coordinates of its control points being the evolutionary algorithm artificial chromosome genes. Given a 3-D rough environment and assuming flight envelope restrictions, two problems are solved: i) UAV navigation using an offline planner in a known environment, and, ii) UAV navigation using an online planner in a completely unknown environment. The offline planner produces a single B-Spline curve that connects the starting and target points with a predefined initial direction. The online planner, based on the offline one, is given on-board radar readings which gradually produces a smooth 3-D trajectory aiming at reaching a predetermined target in an unknown environment; the produced trajectory consists of smaller B-spline curves smoothly connected with each other. Both planners have been tested under different scenarios, and they have been proven effective in guiding an UAV to its final destination, providing near-optimal curved paths quickly and efficiently.