Cooperative Path Planning of Unmanned Aerial Vehicles

Path Planning Strategies for Cooperative Autonomous Air Vehicles offers a dedicated, practical guide to computational path planning for cooperative autonomous vehicles. Focuses on the path planning of multiple UAVs for simultaneous arrival on target, it also offers coverage of path planners that are applicable to land, sea, or space–borne vehicles. The authors divide the solution to path planning into two phases: first, the paths are produced to meet curvature constraints – the flyable paths – and second, the flyable paths are tuned to meet the mission. They describe approaches that use both composite and single curves, and extend these approaches to cater for the complex issue of sense and avoid. Authored by a leading group of researchers at Cranfield, this book presents an invaluable new addition to the existing literature on UAV guidance and cooperative control.There is an increasing interest in the potential of UAV (unmanned air vehicles) and MAV (micro air vehicle) technology Dedicated, practical guide to computational path planning for cooperative autonomous vehicles offering an invaluable resource for UAV researchers and practitioners Includes chapters on path planning, 3–D path planning, cooperative path planning, path planning in complex environments and sense & avoid Describes path–planners applicable to other types of autonomous vehicles beyond those that are airborne, including those that are land, air or space–borne