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Autonomous Vehicle Technology

Global Exploration and Chinese Practice

  • Book
  • © 2023

Overview

Authors:
  1. Mingfang Du

    1. Tsinghua University, Beijing, China

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  • Focuses on the practicability of the industrialization of unmanned vehicles
  • Summarizes the core technology of unmanned vehicle and the vehicle network
  • Introduces the key technologies with profound theoretical foundation

Part of the book series: Unmanned System Technologies (UST)

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  2. Overview of Autonomous Vehicle

    • Mingfang Du
    Pages 1-15

  3. General Technology

    • Mingfang Du
    Pages 17-37

  4. Vehicle Borne Radar System

    • Mingfang Du
    Pages 39-63

  5. Lane Visual Detection and Recognition Technology

    • Mingfang Du
    Pages 65-134

  6. Navigation and Positioning Technology

    • Mingfang Du
    Pages 135-151

  7. Motion Control and Planning Decision-Making Technology

    • Mingfang Du
    Pages 153-174

  8. Energy and Power System

    • Mingfang Du
    Pages 175-188

  9. Internet of Vehicles

    • Mingfang Du
    Pages 189-231

  10. Autonomous Vehicle Industrialization

    • Mingfang Du
    Pages 233-262

  11. From Autonomous Vehicle to AI City

    • Mingfang Du
    Pages 263-290

  12. Back Matter

    Pages 291-293
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Keywords

About this book

The subject of this book is artificial intelligence (AI), introducing the fast road sensing algorithm and system based on image pattern recognition for unmanned vehicle, especially for traffic sign recognition and complex road recognition. With rich figures and credible data, this book systematically and comprehensively describes the core technology and industrialization focus of today's unmanned vehicle system, which can be used as a reference for R & D Engineers and industrialization practitioners of unmanned vehicle, and it can also be used as a teaching material for higher grades and postgraduates in colleges and universities.

Authors and Affiliations

  • Tsinghua University, Beijing, China

    Mingfang Du

About the author

Mingfang Du, Ph.D. in control science and engineering is an associate professor, and a graduate supervisor at Center of Information Technology, Tsinghua University, Beijing. He is also an expert member of the Beacon Committee of the Ministry of Housing and Construction, an expert member of the Chinese Society of Automation and the Chinese Society of Artificial Intelligence, an expert member of the Urban Infrastructure Branch of the China Standardization Association, and an expert member of the China Engineering Construction Standardization Association, Young and Middle-aged Backbone Teachers in Beijing. For more than 10 years, he has devoted himself to the theoretical research and practical exploration in the fields of artificial intelligence, industrial automation, intelligent city, intelligent building, automatic driving, rail transit, data science, information standard, digital economy, and so on. He has worked as the R & D engineer of Industrial Software and Intelligent Hardware, asenior consultant of Smart City, etc. He is the author of intelligent building system integration (undergraduate and graduate textbook), modern control technology, components and systems (translation), unmanned car technology, and intelligent building: The transition and development of architecture in the intelligent + era, AI + new smart city theory, technology and practice, digital twin city: Research on smart governance of cities in the new infrastructure era. 

Bibliographic Information

  • Book Title: Autonomous Vehicle Technology

  • Book Subtitle: Global Exploration and Chinese Practice

  • Authors: Mingfang Du

  • Series Title: Unmanned System Technologies

  • DOI: https://doi.org/10.1007/978-981-19-4143-6

  • Publisher: Springer Singapore

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: China Communications Press Co., Ltd. 2023

  • Hardcover ISBN: 978-981-19-4142-9Published: 24 September 2022

  • Softcover ISBN: 978-981-19-4145-0Published: 25 September 2023

  • eBook ISBN: 978-981-19-4143-6Published: 23 September 2022

  • Series ISSN: 2523-3734

  • Series E-ISSN: 2523-3742

  • Edition Number: 1

  • Number of Pages: XVII, 293

  • Number of Illustrations: 39 b/w illustrations, 200 illustrations in colour

  • Topics: Mechanical Engineering, Machinery and Machine Elements, Artificial Intelligence

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