| 书目名称 | Directed Sonar Sensing for Mobile Robot Navigation |
| 编辑 | John J. Leonard,Hugh F. Durrant-Whyte |
| 视频video | |
| 丛书名称 | The Springer International Series in Engineering and Computer Science |
| 图书封面 |  |
| 描述 | 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 features, 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 provi |
| 出版日期 | Book 1992 |
| 关键词 | Navigation; Sonar; Tracking; artificial intelligence; autonom; intelligence; mobile robot; perception; robot |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4615-3652-9 |
| isbn_softcover | 978-1-4613-6625-6 |
| isbn_ebook | 978-1-4615-3652-9Series ISSN 0893-3405 |
| issn_series | 0893-3405 |
| copyright | Springer Science+Business Media New York 1992 |
发表于 2025-3-21 17:14:17
