State estimation for robotics / (Record no. 84100)

000 -LEADER
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
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-- 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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