Multimodal perception and secure state estimation for robotic mobility platforms / Xinghua Liu, Rui Jiang, Badong Chen, Shuzhi Sam Ge.

Author/creator Liu, Xinghua
Other author Jiang, Rui (Research fellow)
Other author Chen, Badong.
Other author Sam Ge, Shuzhi.
Format Electronic
Publication InfoHoboken, New Jersey : Wiley-IEEE Press, [2023]
Description1 online resource
Supplemental ContentFull text available from eBooks on EBSCOhost
Subjects

Abstract "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."-- Provided by publisher.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Source of descriptionDescription based on print version record and CIP data provided by publisher; resource not viewed.
Issued in other formPrint version: Liu, Xinghua Multimodal perception and secure state estimation for robotic mobility platforms Hoboken, New Jersey : Wiley-IEEE Press, [2023] 9781119876014
Genre/formElectronic books.
LCCN 2022039108
ISBN9781119876038 (epub)
ISBN9781119876021 (adobe pdf)
ISBN(cloth)

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