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Multimodal perception and secure state estimation for robotic mobility platforms /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Multimodal perception and secure state estimation for robotic mobility platforms // Xinghua Liu ... [et al.].
other author:	Liu, Xinghua.
Published:	Hoboken, NJ :Wiley-IEEE Press, : c2023.,
Description:	xvi, 208 p. :ill. ; : 24 cm.;
Subject:	Multisensor data fusion. -
ISBN:	9781119876014 :

Multimodal perception and secure state estimation for robotic mobility platforms /
Multimodal perception and secure state estimation for robotic mobility platforms /Xinghua Liu ... [et al.]. - Hoboken, NJ :Wiley-IEEE Press,c2023. - xvi, 208 p. :ill. ;24 cm.

Includes bibliographical references (p. 189-206) and index.

"This book provides a novel perspective on secure state estimation and multimodal perception for robotic mobility platforms such as autonomous vehicles. In particular, the book discusses the two essential topics in autonomous systems: 1. secure state estimation that focuses on system robustness under cyber-attacks, and 2. multi-sensor fusion that helps improve system performance based on the complementary characteristics of different sensors. Finally, the authors introduce a geometric pose estimation framework to incorporate measurements and constraints into a unified fusion scheme, where real-time road-constrained and heading-assisted pose estimation is achieved. The proposed geometric pose estimation has been validated using public and self-collected data and can be further extended to other kinds of sensor configurations with state and measurement constraints."--

ISBN: 9781119876014 :NT3308

LCCN: 2022039107Subjects--Topical Terms:

558700
Multisensor data fusion.

LC Class. No.: TK7872.D48 / L59 2023

Dewey Class. No.: 005.74

Multimodal perception and secure state estimation for robotic mobility platforms /
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020 $a 9781119876014 : $c NT3308
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020 $a 9781119876038 (epub)
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050 0 0 $a TK7872.D48 $b L59 2023
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245 0 0 $a Multimodal perception and secure state estimation for robotic mobility platforms / $c Xinghua Liu ... [et al.].
260 # $a Hoboken, NJ : $b Wiley-IEEE Press, $c c2023.
300 $a xvi, 208 p. : $b ill. ; $c 24 cm.
504 $a Includes bibliographical references (p. 189-206) and index.
520 # $a "This book provides a novel perspective on secure state estimation and multimodal perception for robotic mobility platforms such as autonomous vehicles. In particular, the book discusses the two essential topics in autonomous systems: 1. secure state estimation that focuses on system robustness under cyber-attacks, and 2. multi-sensor fusion that helps improve system performance based on the complementary characteristics of different sensors. Finally, the authors introduce a geometric pose estimation framework to incorporate measurements and constraints into a unified fusion scheme, where real-time road-constrained and heading-assisted pose estimation is achieved. The proposed geometric pose estimation has been validated using public and self-collected data and can be further extended to other kinds of sensor configurations with state and measurement constraints."-- $c Provided by publisher.
650 # 0 $a Multisensor data fusion. $3 558700
650 # 0 $a Mobile robots. $3 568980
650 # 0 $a Automated vehicles. $3 1229151
700 1 # $a Liu, Xinghua. $e author. $3 1285635