A strategy for repetitive neighbor finding in images represented by quadtrees
Pattern Recognition Letters
An effective way to represent quadtrees
Communications of the ACM
An algorithm for planning collision-free paths among polyhedral obstacles
Communications of the ACM
A New Cell-subdivision Approach to Plan Free Translations in Cluttered Environments
Journal of Intelligent and Robotic Systems
Evolutionary algorithm based offline/online path planner for UAV navigation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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Fuzzy quadtree framework has been utilized to develop a path planner for a fixed wing micro air vehicle (MAV). The fuzzy quadtree being computationally efficient can efficiently meet the computational requirements of a micro air vehicle, and therefore, does not require high capacity processor onboard. The proposed algorithm can provide optimal and safe path because it can avoid a pop up obstacle in real time while significantly reducing both the space and the time complexity. Some issues which are very pertinent to the MAV path planning like vehicle dimensions and safety measures for congested environment have been taken into account in the code developed. Besides, during the quadtree generation the constraint of turn rate kinematics of the MAV has been included.