가야대학교 분성도서관
주메뉴
자료검색
- Home
- 상세정보
상세정보
부가기능
Smart Transportation : AI Enabled Mobility and Autonomous Driving
상세 프로파일
| 자료유형 | E-Book |
|---|---|
| 개인저자 | Dartmann, Guido. Schmeink, Anke. Lu?cken, Volker. Song, Houbing. Ziefle, Martina. Prestiflippo, Giovanni. |
| 서명/저자사항 | Smart Transportation :AI Enabled Mobility and Autonomous Driving. |
| 발행사항 | Milton : Taylor & Francis Group, 2021. |
| 형태사항 | 1 online resource (256 pages) |
| 소장본 주기 | OCLC control number change - WorldCat record variable field(s) change: 050, 082, 650 |
| ISBN | 9781000405637 100040563X 9780367808150 0367808153 9781000405651 1000405656 |
| 기타표준부호 | 10.1201/9780367808150doi |
| 서지주기 | Includes bibliographical references and index. |
| 내용주기 | Cover -- Title Page -- Copyright Page -- Preface -- Acknowledgements -- Contents -- 1. Social Acceptance of Autonomous Driving -- The Importance of Public Discourse and Citizen Participation -- 2. Artificial Intelligence for Autonomous Vehicle Fleets: Desired Requirements, Solutions and a Best Practice Project -- 3. Large-scale Simulation of a Mobility-on-Demand System for the German City Aachen -- 4. Artificial Intelligence for Fleets of Autonomous Vehicles: Desired Requirements and Solution Approaches 5. Future Urban Mobility: Designing New Mobility Technologies in Open Innovation Networks -- 6. Communication and Service Aspects of Smart Mobility: Improving Security, Privacy and Efficiency of Mobility Services by Utilizing Distributed Ledger Technology -- 7. Pseudonym Management through Blockchain: Cost-efficient Privacy Preservation on Smart Transportation -- 8. Simulation Platforms for Autonomous Driving and Smart Mobility: Simulation Platforms, Concepts, Software, APIs -- 9. Deep-Learning Based Depth Completion for Autonomous Driving Applications 10. Artificial Intelligence Based on Modular Reinforcement Learning and Unsupervised Learning -- 11. Functional Safety of Deep Learning Techniques in Autonomous Driving Systems -- Index |
| 요약 | The book provides a broad overview of the challenges and recent developments in the field of smart mobility and transportation, includingtechnical, algorithmic and social aspects of smart mobility and transportation. It reviews new ideas for services and platforms for future mobility. New concepts of artificial intelligence and the implementation in new hardware architecture are discussed. In the context of artificial intelligence, new challenges of machine learning for autonomous vehicles and fleets are investigated. The book also investigates human factors and social questions of future mobility concepts. The goal of this book is to provide a holistic approach towards smart transportation. The book reviews new technologies such as thecloud, machine learning and communication for fully atomatized transport, catering to the needs of citizens. This will lead to complete change of concepts in transportion. |
| 일반주제명 | Transportation -- Technological innovations. Intelligent transportation systems. Automated vehicles. Communication and traffic. TECHNOLOGY -- Engineering -- Automotive. TECHNOLOGY -- Automation. Automated vehicles. Communication and traffic. Intelligent transportation systems. Transportation -- Technological innovations. |
| 언어 | 영어 |
| 기타형태 저록 | Print version:Dartmann, Guido.Smart Transportation.Milton : Taylor & Francis Group, 짤20219780367352967 |
| 대출바로가기 | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2915184 |
소장정보
- 소장정보
인쇄
| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00022689 | 629.04/6 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |
|
카피라이터
