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Characterizing the safety of automated vehicles /
紀錄類型:
書目-電子資源 : 單行本
正題名/作者:
Characterizing the safety of automated vehicles // Edited by Juan R. Pimentel.
其他作者:
Pimentel, Juan R.,
面頁冊數:
1 PDF (xxx, 158 pages).
標題:
Automated guided vehicle systems - Safety measures. -
電子資源:
點擊此處連結全文( Full Text )
ISBN:
9780768002102
Characterizing the safety of automated vehicles /
Characterizing the safety of automated vehicles /
Edited by Juan R. Pimentel. - 1 PDF (xxx, 158 pages). - Society of Automotive Engineers. Electronic publications. - Society of Automotive Engineers.Electronic publications.. - Automated vehicle safety series ;bk. 1..
Includes bibliographical references.
Functional safety papers. Chapter 1. The development of safety cases for an autonomous vehicle: a comparative study on different methods ; Chapter 2. A means of assessing the entire functional safety hazard space ; Chapter 3. A model-driven approach for dependent failure analysis in consideration of multicore processors using modified EAST-ADL ; Chapter 4. An analysis of ISO 26262: machine learning and safety in automotive software -- Sotif papers. Chapter 5. Hazard analysis and risk assessment beyond ISO 26262: management of complexity via restructuring of risk-generating process ; Chapter 6. The science of testing: an automotive perspective -- Multi-agent safety papers. Chapter 7. Theory of collision avoidance capability in automated driving technologies ; Chapter 8. A lane-changing decision-making method for intelligent vehicle based on acceleration field ; Chapter 9. Entropy in reaction space - upgrade of time-to-collision quantity ; Chapter 10. A Maneuver-based threat assessment strategy for collision avoidance.
Restricted to subscribers or individual electronic text purchasers.
Safety has been ranked as the number one concern for the acceptance and adoption of automated vehicles since safety has driven some of the most complex requirements in the development of self-driving vehicles. Recent fatal accidents involving self-driving vehicles have uncovered issues in the way some automated vehicle companies approach the design, testing, verification, and validation of their products. This book addresses the concept of safety for self-driving vehicles through the inclusion of 10 recent and highly relevent SAE technical papers. Topics that these papers feature include functional safety, SOTIF, and multi-agent safety.
Mode of access: World Wide Web.
ISBN: 9780768002102
Standard No.: 10.4271/pt-203doiSubjects--Topical Terms:
1000140337
Automated guided vehicle systems
--Safety measures.Index Terms--Genre/Form:
172687
Electronic books.
LC Class. No.: TS180.6 / .C43 2020eb
Dewey Class. No.: 658.781
Characterizing the safety of automated vehicles /
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Functional safety papers. Chapter 1. The development of safety cases for an autonomous vehicle: a comparative study on different methods ; Chapter 2. A means of assessing the entire functional safety hazard space ; Chapter 3. A model-driven approach for dependent failure analysis in consideration of multicore processors using modified EAST-ADL ; Chapter 4. An analysis of ISO 26262: machine learning and safety in automotive software -- Sotif papers. Chapter 5. Hazard analysis and risk assessment beyond ISO 26262: management of complexity via restructuring of risk-generating process ; Chapter 6. The science of testing: an automotive perspective -- Multi-agent safety papers. Chapter 7. Theory of collision avoidance capability in automated driving technologies ; Chapter 8. A lane-changing decision-making method for intelligent vehicle based on acceleration field ; Chapter 9. Entropy in reaction space - upgrade of time-to-collision quantity ; Chapter 10. A Maneuver-based threat assessment strategy for collision avoidance.
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Safety has been ranked as the number one concern for the acceptance and adoption of automated vehicles since safety has driven some of the most complex requirements in the development of self-driving vehicles. Recent fatal accidents involving self-driving vehicles have uncovered issues in the way some automated vehicle companies approach the design, testing, verification, and validation of their products. This book addresses the concept of safety for self-driving vehicles through the inclusion of 10 recent and highly relevent SAE technical papers. Topics that these papers feature include functional safety, SOTIF, and multi-agent safety.
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