9780792392422 - directed sonar sensing for mobile robot navigation (the springer international series in engineering and computer science, band 175) von leonard, john j.; durrant-whyte, hugh f. (7 Ergebnisse)
- Hardcover
Anbieter: Seagull Books, Hove, Vereinigtes KönigreichSeagull Books
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EUR 90,17
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Hardcover. Zustand: Very Good. Has some light general reading/shelfwear - otherwise this is a clean, tight copy. Dispatch within 24hrs from the UK. Book.
- Hardcover
Anbieter: Anybook.com, Lincoln, Vereinigtes KönigreichAnybook.com
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Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,500grams, ISBN:9780792392422.
- Hardcover
Anbieter: Anybook.com, Lincoln, Vereinigtes KönigreichAnybook.com
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Gebraucht - Befriedigend
EUR 90,17
EUR 36,65 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,500grams, ISBN:9780792392422.
- Hardcover
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
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EUR 165,73
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Zustand: New. In.
- Hardcover
Anbieter: moluna, Greven, Deutschlandmoluna
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EUR 178,14
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Gebunden. Zustand: New. This monograph is a revised version of the D.Phil. thesis of the first author, submitted in October 1990 to the University of Oxford. This work investigates the problem of mobile robot navigation using sonar. We view model-based navigation as a process of t.
- Hardcover
Anbieter: Kennys Bookstore, Olney, MD, USAKennys Bookstore
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EUR 250,34
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Zustand: New. Accurate map building and position estimation for mobile robots using sonar has been elusive, because of the difficulty in interpreting sonar data correctly. This book aims to prove that sonar can fulfil the perception role for the provision of long-term autonomous navigation. Series: The Springer International Ser…ies in Engineering and Computer Science. Num Pages: 183 pages, biography. BIC Classification: TJFM1. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 12. Weight in Grams: 476. . 1992. Hardback. . . . . Books ship from the US and Ireland.
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 247,94
EUR 62,43 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Buch. Zustand: Neu. Neuware - This monograph is a revised version of the D.Phil. thesis of the first author, submitted in October 1990 to the University of Oxford. This work investigates the problem of mobile robot navigation using sonar. We view model-based navigation as a process of tracking naturally occurring environment fea…tures, which we refer to as 'targets'. Targets that have been predicted from the environment map are tracked to provide that are observed, but not predicted, vehicle position estimates. Targets represent unknown environment features or obstacles, and cause new tracks to be initiated, classified, and ultimately integrated into the map. Chapter 1 presents a brief definition of the problem and a discussion of the basic research issues involved. No attempt is made to survey ex haustively the mobile robot navigation literature-the reader is strongly encouraged to consult other sources. The recent collection edited by Cox and Wilfong [34] is an excellent starting point, as it contains many of the standard works of the field. Also, we assume familiarity with the Kalman filter. There are many well-known texts on the subject; our notation derives from Bar-Shalom and Fortmann [7]. Chapter 2 provides a detailed sonar sensor model. A good sensor model of our approach to navigation, and is used both for is a crucial component predicting expected observations and classifying unexpected observations.
