An energy-efficient parallel algorithm for real-time near-optimal UAV path planning

Abstract

We propose a shortest trajectory planning algorithm implementation for Unmanned Aerial Vehicles (UAVs) on an embedded GPU. Our goal is the development of a fast, energy-efficient global planner for multi-rotor UAVs supporting human operator during rescue missions.