Online path planning for kinematic-constrained UAVs in a dynamic environment based on a Differential Evolution algorithm
Elias J. R. Freitas, Miri Weiss Cohen, Frederico G. Guimarães, Luciano C. A. Pimenta
TL;DR
This research presents an online path planner for UAVs that can handle dynamic obstacles and UAV motion constraints, including maximum curvature and desired orientations, using a NURBS path representation and a Differential Evolution algorithm.
Abstract
This research presents an online path planner for Unmanned Aerial Vehicles (UAVs) that can handle dynamic obstacles and UAV motion constraints, including maximum curvature and desired orientations. Our proposed planner uses a NURBS path representation and a Differential Evolution algorithm, incorporating concepts from the Velocity Obstacle approach in a constraint function. Initial results show that our approach is feasible and provides a foundation for future extensions to three-dimensional (3D) environments.