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Safe, autonomous and intelligent veh...

Yu, Huafeng.

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Safe, autonomous and intelligent vehicles

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Safe, autonomous and intelligent vehicles/ edited by Huafeng Yu ... [et al.].
其他作者:	Yu, Huafeng.
出版者:	Cham :Springer International Publishing : : 2019.,
面頁冊數:	xiii, 204 p. :ill., digital ;24 cm.
內容註:	Introduction -- Statistical Validation of In-Vehicle Machine Learning Systems -- Cyberattack-Resilient Hybrid Switching Controller Design with Application to Unmanned Aircraft System -- Control and Safety of Autonomous Vehicles with Learning-Enabled Components -- AdaStress: Adaptive Stress Testing and Interpretable Analysis of Safety-Critical Systems -- Provably-correct control synthesis for vehicle safety systems -- Reachable Set Estimation and Verification for Neural Network Models of Nonlinear Dynamic Systems -- Adaptation of Human Licensing Examinations to the Certification of Autonomous Systems -- Model-based Software Synthesis for Safety-critical Cyber-Physical Systems -- Compositional Verification for Autonomous Systems with Deep Learning Components -- Index.
Contained By:	Springer eBooks
標題:	Autonomous vehicles. -
電子資源:	https://doi.org/10.1007/978-3-319-97301-2
ISBN:	9783319973012

Safe, autonomous and intelligent vehicles
Safe, autonomous and intelligent vehicles[electronic resource] /edited by Huafeng Yu ... [et al.]. - Cham :Springer International Publishing :2019. - xiii, 204 p. :ill., digital ;24 cm. - Unmanned system technologies,2523-3734. - Unmanned system technologies..

Introduction -- Statistical Validation of In-Vehicle Machine Learning Systems -- Cyberattack-Resilient Hybrid Switching Controller Design with Application to Unmanned Aircraft System -- Control and Safety of Autonomous Vehicles with Learning-Enabled Components -- AdaStress: Adaptive Stress Testing and Interpretable Analysis of Safety-Critical Systems -- Provably-correct control synthesis for vehicle safety systems -- Reachable Set Estimation and Verification for Neural Network Models of Nonlinear Dynamic Systems -- Adaptation of Human Licensing Examinations to the Certification of Autonomous Systems -- Model-based Software Synthesis for Safety-critical Cyber-Physical Systems -- Compositional Verification for Autonomous Systems with Deep Learning Components -- Index.

This book covers the start-of-the-art research and development for the emerging area of autonomous and intelligent systems. In particular, the authors emphasize design and validation methodologies to address the grand challenges related to safety. This book offers a holistic view of a broad range of technical aspects (including perception, localization and navigation, motion control, etc.) and application domains (including automobile, aerospace, etc.), presents major challenges and discusses possible solutions. Provides a single-source guide to the practical challenges in designing autonomous and intelligent systems; Discusses the major challenges related to safety of next-generation autonomous and intelligent systems, given growing complexity and new applications; Describes new design and validation methodologies to address safety issues; Includes technical background to facilitate further research and development.

ISBN: 9783319973012

Standard No.: 10.1007/978-3-319-97301-2doiSubjects--Topical Terms:

2179092
Autonomous vehicles.

LC Class. No.: TL152.8 / .S244 2019

Dewey Class. No.: 629.2046

Safe, autonomous and intelligent vehicles
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505 0 $a Introduction -- Statistical Validation of In-Vehicle Machine Learning Systems -- Cyberattack-Resilient Hybrid Switching Controller Design with Application to Unmanned Aircraft System -- Control and Safety of Autonomous Vehicles with Learning-Enabled Components -- AdaStress: Adaptive Stress Testing and Interpretable Analysis of Safety-Critical Systems -- Provably-correct control synthesis for vehicle safety systems -- Reachable Set Estimation and Verification for Neural Network Models of Nonlinear Dynamic Systems -- Adaptation of Human Licensing Examinations to the Certification of Autonomous Systems -- Model-based Software Synthesis for Safety-critical Cyber-Physical Systems -- Compositional Verification for Autonomous Systems with Deep Learning Components -- Index.
520 $a This book covers the start-of-the-art research and development for the emerging area of autonomous and intelligent systems. In particular, the authors emphasize design and validation methodologies to address the grand challenges related to safety. This book offers a holistic view of a broad range of technical aspects (including perception, localization and navigation, motion control, etc.) and application domains (including automobile, aerospace, etc.), presents major challenges and discusses possible solutions. Provides a single-source guide to the practical challenges in designing autonomous and intelligent systems; Discusses the major challenges related to safety of next-generation autonomous and intelligent systems, given growing complexity and new applications; Describes new design and validation methodologies to address safety issues; Includes technical background to facilitate further research and development.
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