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.
1. Chapter 1. Introduction - p. 1 2. Chapter 2. Scenario Maps for Autonomous Driving - p. 39 3. Chapter 3. Simultaneous Localization and Mapping (SLAM) Technology - p. 81 4. Chapter 4. Localization Techniques Based on Scene Maps - p. 123 5. Chapter 5. Path Planning and Decision Making Based on Scenario Maps - p. 163 6. 5.1 Overview of Path-Planning Technologies - p. 163 7. 5.2 The Development of Path Planning - p. 168 8. 5.3 Cooperative Path Planning at Intersections Based on Spatiotemporal Maps - p. 178 9. 5.4 Autonomous Exploration Path Planning Based on Topological Maps - p. 193 10. Chapter 6. Future Outlook of High Definition Maps - p. 225 11. Index - p. 235
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.
1. Chapter 1. Introduction - p. 1 2. Chapter 2. Scenario Maps for Autonomous Driving - p. 39 3. Chapter 3. Simultaneous Localization and Mapping (SLAM) Technology - p. 81 4. Chapter 4. Localization Techniques Based on Scene Maps - p. 123 5. Chapter 5. Path Planning and Decision Making Based on Scenario Maps - p. 163 6. 5.1 Overview of Path-Planning Technologies - p. 163 7. 5.2 The Development of Path Planning - p. 168 8. 5.3 Cooperative Path Planning at Intersections Based on Spatiotemporal Maps - p. 178 9. 5.4 Autonomous Exploration Path Planning Based on Topological Maps - p. 193 10. Chapter 6. Future Outlook of High Definition Maps - p. 225 11. Index - p. 235
