Autonomous Vehicle Technology: Global Exploration and Chinese Practice: Unmanned System Technologies
Autor Mingfang Duen Limba Engleză Paperback – 25 sep 2023
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.
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Specificații
ISBN-13: 9789811941450
ISBN-10: 9811941459
Pagini: 293
Ilustrații: XVII, 293 p. 239 illus., 200 illus. in color.
Dimensiuni: 155 x 235 mm
Ediția:1st ed. 2023
Editura: Springer Nature Singapore
Colecția Springer
Seria Unmanned System Technologies
Locul publicării:Singapore, Singapore
ISBN-10: 9811941459
Pagini: 293
Ilustrații: XVII, 293 p. 239 illus., 200 illus. in color.
Dimensiuni: 155 x 235 mm
Ediția:1st ed. 2023
Editura: Springer Nature Singapore
Colecția Springer
Seria Unmanned System Technologies
Locul publicării:Singapore, Singapore
Cuprins
Overview of autonomous vehicle.- General technology.- Vehicle borne radar system.- Lane Visual Detection and Recognition Technology.- Navigation and positioning technology.- Motion Control and Planning Decision-making Technology.- Energy and power system.- Internet of vehicles.- Autonomous vehicle industrialization.- From Autonomous Vehicle to AI City.
Notă biografică
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.
Textul de pe ultima copertă
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.
Caracteristici
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