Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659191752 ISBN 13: 9783659191756
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New.
Language: English
Published by LAP Lambert Academic Publishing, 2012
ISBN 10: 3659191752 ISBN 13: 9783659191756
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Advanced Path Planning and Collision Avoidance Algorithms for UAVs | Design and application of Kinematic A and Nonlinear Model Predictive Control to autonomous flight | Luca De Filippis | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659191756 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659191752 ISBN 13: 9783659191756
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 220 pages. 8.66x5.91x0.50 inches. In Stock.
Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659191752 ISBN 13: 9783659191756
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: De Filippis LucaIs research assistant in the Department of Mechanics and Aerospace Engineering of Politecnico di Torino. He earned a PhD on Path Planning and Collision Avoidance Algorithms for UAVs. His research interests include con.
Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659191752 ISBN 13: 9783659191756
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Print on Demand.
Language: English
Published by LAP Lambert Academic Publishing, 2012
ISBN 10: 3659191752 ISBN 13: 9783659191756
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book aims to present innovative algorithms to provide autonomous flight capability to a fixed-wing unmanned aircraft. Particularly it contributes to research on path optimization, trajectory tracking and collision avoidance with two algorithms designed respectively for path planning and aircraft guidance. These algorithms are combined to generate the shortest path from start to target avoiding known obstacles represented on a map and to drive the aircraft on the optimum path avoiding unpredicted objects sensed in flight. The path planning algorithm, named Kinematic A , is developed on the basis of graph search algorithms like A or Theta and is meant to generate feasible paths through a simple aircraft kinematic-model, evaluating moving cost between nodes of tridimensional graphs. The guidance algorithm on the other hand faces the concurring tasks of trajectory tracking and collision avoidance with Nonlinear Model Predictive Control. It exploits the optimal path provided with KA and a visual servoing control logics based on a spherical camera to steer the aircraft toward the desired path.