Buch, Englisch, 536 Seiten, Format (B × H): 151 mm x 228 mm, Gewicht: 844 g
Buch, Englisch, 536 Seiten, Format (B × H): 151 mm x 228 mm, Gewicht: 844 g
ISBN: 978-0-12-803729-4
Verlag: Elsevier Science & Technology
With a detailed insight into the technology behind the vehicle, Part Two of the book focuses on the problem of motion planning. Numerous planning techniques are discussed and adapted to work for multi-vehicle traffic scenarios, including the use of sampling based approaches comprised of Genetic Algorithm and Rapidly-exploring Random Trees and Graph search based approaches, including a hierarchical decomposition of the algorithm and heuristic selection of nodes for limited exploration, Reactive Planning based approaches, including Fuzzy based planning, Potential Field based planning, and Elastic Strip and logic based planning.
Part Three of the book covers the macroscopic concepts related to Intelligent Transportation Systems with a discussion of various topics and concepts related to transportation systems, including a description of traffic flow, the basic theory behind transportation systems, and generation of shock waves.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Part I: Autonomous Vehicles
1. Introduction
2. Basics of Autonomous Vehicles
3. Perception in Autonomous Vehicles
4. Advanced Driver Assistance Systems
Part II: Deliberative Motion Planning of Autonomous Vehicles
5. Introduction to Planning
6. Optimization Based Planning
7. Sampling Based Planning
8. Graph Search based Hierarchical Planning
9. Using Heuristics in Graph Search based Planning
Part III: (Near-)Reactive Motion Planning of Autonomous Vehicles
10. Fuzzy Based Planning
11. Potential Based Planning
12. Logic Based Planning
Part IV: Intelligent Transportation Systems
13. Basics of Intelligent Transportation System
14. Intelligent Transportation Systems with Diverse Vehicles
15. Reaching Destination before Deadline with Intelligent Transportation Systems
16. Conclusions
Appendix A: Resources from the Author