State estimation for robotics / (Record no. 84100)
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000 -LEADER | |
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fixed length control field | 02207nam a2200349 i 4500 |
001 - CONTROL NUMBER | |
control field | CR9781316671528 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240730160737.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 151204s2017||||enk o ||1 0|eng|d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9781316671528 (ebook) |
082 00 - CLASSIFICATION NUMBER | |
Call Number | 629.8/9201512482 |
100 1# - AUTHOR NAME | |
Author | Barfoot, Timothy D., |
245 10 - TITLE STATEMENT | |
Title | State estimation for robotics / |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | 1 online resource (xii, 368 pages) : |
500 ## - GENERAL NOTE | |
Remark 1 | Title from publisher's bibliographic system (viewed on 28 Aug 2017). |
520 ## - SUMMARY, ETC. | |
Summary, etc | A key aspect of robotics today is estimating the state, such as position and orientation, of a robot as it moves through the world. Most robots and autonomous vehicles depend on noisy data from sensors such as cameras or laser rangefinders to navigate in a three-dimensional world. This book presents common sensor models and practical advice on how to carry out state estimation for rotations and other state variables. It covers both classical state estimation methods such as the Kalman filter, as well as important modern topics such as batch estimation, the Bayes filter, sigmapoint and particle filters, robust estimation for outlier rejection, and continuous-time trajectory estimation and its connection to Gaussian-process regression. The methods are demonstrated in the context of important applications such as point-cloud alignment, pose-graph relaxation, bundle adjustment, and simultaneous localization and mapping. Students and practitioners of robotics alike will find this a valuable resource. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
General subdivision | Control systems. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
General subdivision | Mathematics. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1017/9781316671528 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Cambridge : |
-- | Cambridge University Press, |
-- | 2017. |
336 ## - | |
-- | text |
-- | txt |
-- | rdacontent |
337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
-- | cr |
-- | rdacarrier |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Robots |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Observers (Control theory) |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Lie groups. |
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