Reliable Robot Localization – A Constraint– Programming Approach Over Dynamical…
Reliable Robot LocalizationA Constraint-Programming Approach Over Dynamical Systems\nAuthor(s): Simon Rohou, Luc Jaulin, Lyudmila Mihaylova, Fabrice Le Bars, Sandor M. Veres\nFormat: Hardback\nPublisher: ISTE Ltd and John Wiley & Sons Inc, United Kingdom\nImprint: ISTE Ltd and John Wiley & Sons Inc\nISBN-13: 9781848219700, 978-1848219700\nSynopsis\nLocalization for underwater robots remains a challenging issue. Typical sensors, such as Global Navigation Satellite System (GNSS) receivers, cannot be used under the surface and other inertial systems suffer from a strong integration drift. On top of that, the seabed is generally uniform and unstructured, making it difficult to apply Simultaneous Localization and Mapping (SLAM) methods to perform localization. Reliable Robot Localization presents an innovative new method which can be characterized as a raw-data SLAM approach. It differs from extant methods by considering time as a standard variable to be estimated, thus raising n.
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