Title :
Multiple UCAVs cooperative path planning in dynamic environments
Author :
Xiao-wei Fu ; Xiao-guang Gao
Author_Institution :
Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi´an
Abstract :
A kind of cooperative dynamic path planning algorithm for multiple UCAVs in dynamic environments is presented. If there is a pop-up threat when UCAVs are enroute to terminal point, the algorithm calculates the value of the threat. If the pop-up threat was a more valuable target, the algorithm assigns the target to one of UCAVs. The UCAV attack the target in time. If the pop-up threat was not a more valuable target, the algorithm plans path for all UCAVs to evade the threat. Due to time available to plan and the feasibility of the planning result are considered, the algorithm is able to process the new information at any time. The simulation results demonstrate the method is able to make UCAV to complete its task more autonomously.
Keywords :
Bayes methods; aerospace robotics; military aircraft; mobile robots; multi-robot systems; optimisation; path planning; remotely operated vehicles; robot dynamics; Bayesian optimization algorithm; UCAV attack; dynamic environment; multiple UCAV cooperative dynamic path planning algorithm; pop-up threat; uninhabited combat air vehicle; Aerodynamics; Bayesian methods; Costs; Electronic warfare; Heuristic algorithms; Intelligent vehicles; Marine vehicles; Path planning; Process planning; Vehicle dynamics; Bayesian optimization algorithm; UCAVs; cooperative path planning; dynamic environments;
Conference_Titel :
Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-2799-4
Electronic_ISBN :
978-1-4244-2800-7
DOI :
10.1109/ICIEA.2009.5138487