Yuan Guo – författare

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.Provides a comprehensive resource on scenario maps, from construction to diverse applications, a niche not fully covered by broader autonomous driving books or more general robotics textsPresents theory linked to practical examples, guidance, strategies, and real-world applicationsIntegrates precise geomatic techniques with AI-driven approaches for intelligent driving, providing a critical and timely perspectiveTakes a structured approach, from fundamentals to advanced applications, making it an invaluable resource for graduate students, researchers, and professionals aiming to deepen their understanding of this rapidly advancing field

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. - Provides a comprehensive resource on scenario maps, from construction to diverse applications, a niche not fully covered by broader autonomous driving books or more general robotics texts- Presents theory linked to practical examples, guidance, strategies, and real-world applications- Integrates precise geomatic techniques with AI-driven approaches for intelligent driving, providing a critical and timely perspective- Takes a structured approach, from fundamentals to advanced applications, making it an invaluable resource for graduate students, researchers, and professionals aiming to deepen their understanding of this rapidly advancing field