Multi-UAV Navigation for Optimized Video Surveillance of Ground Vehicles on Uneven Terrains
Andrey V. Savkin, Hailong Huang
Abstract
This paper addresses a trajectory planning problem for a team of UAVs following several ground vehicles on uneven terrain for video surveillance. A model predictive control-based multi-UAV path planning algorithm is designed. A theoretical justification of the path planning algorithm is provided. Extensive simulation studies demonstrate the performance of the proposed method.
Topics & Concepts
TerrainMotion planningComputer scienceTrajectoryUnmanned ground vehiclePath (computing)Model predictive controlReal-time computingControl (management)Computer visionArtificial intelligenceSimulationGeographyRobotComputer networkCartographyPhysicsAstronomyRobotic Path Planning AlgorithmsDistributed Control Multi-Agent SystemsUAV Applications and Optimization