Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: Brand New. reprint edition. 173 pages. 9.26x6.11x0.47 inches. In Stock.
Sprache: Englisch
Verlag: Friedrich Vieweg & Sohn Verlagsgesellschaft mbH, 1992
ISBN 10: 3528063831 ISBN 13: 9783528063832
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. Series: Advances in control systems & signal processing. Num Pages: 173 pages. BIC Classification: TJFM; UYS; UYT. Category: (P) Professional & Scholarly. . . 1992. Hardback. . . . . Books ship from the US and Ireland.
Zustand: Good. 173 pp., hardcover, ex library, else text clean & binding tight. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
Sprache: Englisch
Verlag: Vieweg+Teubner Verlag, De Gruyter Saur, 1992
ISBN 10: 3528063831 ISBN 13: 9783528063832
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Autonomous mobile systems (AMS) are systems capable of some mobility and equipped with advanced sensor devices in order to flexibly respond to changing environmental situations, thus achieving some degree of autonomy. The purpose of this book is to contribute to some essential topics in this broad research area related to sensing and control, but not to present a complete design of an AMS. Subjects conceming knowledge based control and decision, such as moving around obstacles, task planning and diagnosis are left for future publications in this series. Research in the area of AMS has grown rapidly during the last decade, see e.g. [WAXMAN et al. 87], [DICKMANNS , ZAPP 87]. The requirements of an AMS strongly depends on the desired tasks the system should execute, its operational environment and the expected speed of the AMS. For instance, road vehicles obtain velocities of 10 m/s and more, therefore the processing of sensor data such as video image sequences has to be very fast and simple, while indoor mobile robots deal with shorter distances and lower speeds, thus more sophistcated techniques are applicable and -as is done in our approach- additional sensors can be integrated to allow for multi sensor processing.