Product Type
Condition
Binding
Collectible Attributes
Seller Location
Seller Rating
Published by LAP LAMBERT Academic Publishing Nov 2011, 2011
ISBN 10: 384654552XISBN 13: 9783846545522
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Book Print on Demand
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Autonomous unmanned vehicles require the ability to maneuver within their environments safely and efficiently. The problem of generating these traversable, collision-free paths is known as motion planning. While much work has been done in this field, the majority of the existing motion planning algorithms either fail to consider the kinodynamic constraints of the vehicle or is too computationally intensive to be performed online. The presented motion planning algorithm mitigates these issues by using kinodynamically feasible motion primitives to enforce vehicle constraints, while exploiting the computational efficiency and scalability of probabilistic roadmap planners. The result is an online motion planner that is capable of generating safe, traversable paths to any specified destination in an unknown 3D environment. This approach has been experimentally verified using quadrotor helicopters and skid-steer ground rovers. 112 pp. Englisch.
Published by Gaoxiong Shi : Gaoxiong Shi li mei shu guan, Minguo, 2001
ISBN 10: 957028319XISBN 13: 9789570283198
Seller: Joseph Burridge Books, Chadwell Heath, United Kingdom
Book
Soft cover. Condition: Fine. 215 p. : ill. ; 30 cm. Text in Chinese and English. catalogue prepared to accompany the exhibition at Kaohsiung Museum of Fine Arts in Taiwan in the summer of 2001. Illustrated in black & white.
Published by LAP LAMBERT Academic Publishing, 2011
ISBN 10: 384654552XISBN 13: 9783846545522
Seller: AHA-BUCH GmbH, Einbeck, Germany
Book Print on Demand
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Autonomous unmanned vehicles require the ability to maneuver within their environments safely and efficiently. The problem of generating these traversable, collision-free paths is known as motion planning. While much work has been done in this field, the majority of the existing motion planning algorithms either fail to consider the kinodynamic constraints of the vehicle or is too computationally intensive to be performed online. The presented motion planning algorithm mitigates these issues by using kinodynamically feasible motion primitives to enforce vehicle constraints, while exploiting the computational efficiency and scalability of probabilistic roadmap planners. The result is an online motion planner that is capable of generating safe, traversable paths to any specified destination in an unknown 3D environment. This approach has been experimentally verified using quadrotor helicopters and skid-steer ground rovers.
Condition: Fine. Number of pages: 502p Size: 20cm.
Condition: Fine. Number of pages: 213p Size: 21cm.
Published by LAP LAMBERT Academic Publishing, 2011
ISBN 10: 384654552XISBN 13: 9783846545522
Seller: moluna, Greven, Germany
Book Print on Demand
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Chen PeiyiPeiyi Chen has developed planning algorithms and control strategies for a a variety of autonomous unmanned vehicles, including quadrotor helicopters and skid-steer ground rovers. He is a member of the Waterloo Autonomous Ve.