Inhaltsangabe
Construction and Application of Intelligent Driving Scenario Maps systematically introduces the theory and practical application of map technology in intelligent driving, from algorithm design and key scenario map construction techniques to advanced applications, updating and validation, and future development prospects. The book examines multiple vehicle positioning technologies grounded in scene maps, assessing their effectiveness and applicability for enhancing intelligent driving systems. Various methodologies for constructing scene maps are explored, including algorithmic approaches and practical techniques that cater to different environments, thus enabling readers to understand their applicability.
The book provides technical guidance and references for researchers, engineers, and relevant practitioners. In-depth discussion provides an appreciation of the significance of scenario maps to advanced methods for smoother and more efficient vehicle motion planning and control. It offers readers valuable insights and recommendations to drive and advance the development of intelligent vehicles, fostering innovation in this rapidly evolving field.
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Über die Autorinnen und Autoren
Professor Bijun Li has dedicated his career to the research of intelligent driving, focusing on integrated positioning and the development of high-definition maps. He has published over 100 academic papers and holds more than 20 authorized patents. Professor Li currently serves as a council member of the Intelligent Transportation Association of China, an expert committee member of the Intelligent Driving and Intelligent Transportation Committees of the Chinese Association for Artificial Intelligence, and is a member of the China Society of Automotive Engineers. He is also a council member and vice president of the Wuhan Intelligent Automotive Industry Innovation Promotion Association
Dr. Jian Zhou received the Ph.D. degree in cartography and geographic information system from Wuhan University, Wuhan, China, in 2019. He is currently an Associate Researcher with the State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University. His research interests include high-definition map, computer vision, and autonomous vehicles
Dr. Hongjuan Zhang received her B.S. and M.S. degrees in geodesy and survey engineering from Wuhan University, China, in 2011 and 2013, respectively. She received the Ph.D. degree in science from RWTH Aachen University in Germany. She is currently an associate researcher in State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University. Her current research interests include intelligent transportation, GIS, and multi-source fusion navigation
Dr. Yuan Guo received the Ph.D. degree in photogrammetry and remote sensing from Wuhan University in 2021. Dr. Guo is currently a lecturer at the School of Resource and Environment Engineering, Wuhan University of Technology. Her research interests include high-definition map, three-dimensional spatial analysis and computer vision
Dr. Ling Zheng received the B.S., M.S. and Ph.D. degrees in photogrammetry and remote sensing from Wuhan University, China in 2011, 2013 and 2019. She was a postdoctoral fellow at Huazhong University of Science and Technology, China from 2020 to 2023. Her research areas include the high-definition map construction for intelligent vehicles and path planning for autonomous mobile robots. Since 2024, she has been in Hubei University of Economics, Information and Communication Engineering, China as an Associate Professor
Von der hinteren Coverseite
This book systematically introduces the theory and practical application of map technology in intelligent driving, from algorithm design, key scenario map construction techniques, to advanced applications, updating and validation, and future development prospects, in one comprehensive resource. The book examines multiple vehicles positioning technologies grounded in scene maps, assessing their effectiveness and applicability for enhancing intelligent driving systems. Various methodologies for constructing scene maps are explored, including algorithmic approaches and practical techniques that cater to different environments, enabling readers to understand their applicability. The book provides technical guidance and references for researchers, engineers, and relevant practitioners. In-depth discussion provides an appreciation of the significance of scenario maps to advanced methods for smoother and more efficient vehicle motion planning and control. The book offers readers valuable insights and recommendations to drive and advance the development of intelligent vehicles, fostering innovation in this rapidly evolving field.
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Construction and Application of Intelligent Driving Scenario Maps
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