Cooperative path planning of unmanned aerial vehicles
Author(s)
Bibliographic Information
Cooperative path planning of unmanned aerial vehicles
(Progress in astronautics and aeronautics, v. 235)
American Institute of Aeronautics and Astronautics , Wiley, c2011
Available at 7 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references and index
Description and Table of Contents
Description
An invaluable addition to the literature on unmanned aerial vehicle (UAV) guidance and cooperative control, Cooperative Path Planning of Unmanned Aerial Vehicles is a dedicated, practical guide to computational path planning for UAVs. One of the key issues facing future development of UAVs is path planning: it is vital that swarm UAVs/MAVs can cooperate together in a coordinated manner, obeying a pre-planned course but able to react to their environment by communicating and cooperating. An optimized path is necessary in order to ensure that a UAV completes its mission efficiently, safely and successfully. Focussing on the path planning of multiple UAVs for simultaneous arrival on target, Cooperative Path Planning of Unmanned Aerial Vehicles also offers coverage of path planners that are applicable to land, sea or space-bourne vehicles. Cooperative Path Planning of Unmanned Aerial Vehicles is authored by leading researchers from Cranfield University and provides an authoritative resource for researchers, academics and engineers working in the area of cooperative systems, cooperative control and optimization particularly in the aerospace industry.* Includes chapters on path planning, 3-D path planning, cooperative path planning, path planning in complex environments as well as guidance for accurate path following and sense and avoid algorithms to deal with collision avoidance. * Approaches the solution to UAV path planning via two phases: producing paths to meet curvature constraints - the flyable paths, and then tuning the flyable paths to meet the mission demands. * Describes flyable path approaches using composite curves using Dubins and Clothoid principles, and continuous curves using Pythagorean Hodograph principles; and extends these approaches to cater for the complex problem of obstacle avoidance.
by "Nielsen BookData"