000			02404 a2200277 4500
003			OSt
005			20250303152835.0
008			250228b xxu||||| |||| 00| 0 eng d
020			_a9781119876014
040			_cIIT Kanpur
041			_aeng
082			_a629.8932 _bM919
245			_aMultimodal perception and secure state estimation for robotic mobility platforms _cXinghua Liu... [et al.]
260			_bJohn Wiley _c2023 _aHoboken
300			_axvi, 208p
520			_aMultimodal Perception and Secure State Estimation for Robotic Mobility Platforms Enables readers to understand important new trends in multimodal perception for mobile robotics This book provides a novel perspective on secure state estimation and multimodal perception for robotic mobility platforms such as autonomous vehicles. It thoroughly evaluates filter-based secure dynamic pose estimation approaches for autonomous vehicles over multiple attack signals and shows that they outperform conventional Kalman filtered results. As a modern learning resource, it contains extensive simulative and experimental results that have been successfully implemented on various models and real platforms. To aid in reader comprehension, detailed and illustrative examples on algorithm implementation and performance evaluation are also presented. Written by four qualified authors in the field, sample topics covered in the book include: Secure state estimation that focuses on system robustness under cyber-attacks Multi-sensor fusion that helps improve system performance based on the complementary characteristics of different sensors A geometric pose estimation framework to incorporate measurements and constraints into a unified fusion scheme, which has been validated using public and self-collected data How to achieve real-time road-constrained and heading-assisted pose estimation This book will appeal to graduate-level students and professionals in the fields of ground vehicle pose estimation and perception who are looking for modern and updated insight into key concepts related to the field of robotic mobility platforms.
650			_aAutomated vehicles
650			_aMobile robots
650			_aMultisensor data fusion
650			_aRobots mobiles
700			_aLiu, Xinghua
700			_aJiang, Rui
700			_aChen, Badong
700			_aGe, Shuzhi Sam
942			_cBK
999			_c567401 _d567401