Theories and Practices of Self-Driving Vehicles
Self-driving vehicles are a rapidly growing area of research and expertise. Theories and Practice of Self-Driving Vehicles presents a comprehensive introduction to the technology of self driving vehicles across the three domains of perception, planning and control. The title systematically introduces vehicle systems from principles to practice, including basic knowledge of ROS programming, machine and deep learning, as well as basic modules such as environmental perception and sensor fusion. The book introduces advanced control algorithms as well as important areas of new research. This title offers engineers, technicians and students an acce…
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Produktdetails
Weitere Autoren: Shen, Zebang (Senior Autonomous Driving Engineer, Daimler AG and Google Developer Expert (GDE) in machine learning) / Yong, Binbin (an associate professor and master's supervisor in the School of Information Science and Engineering, Lanzhou University, China) / Zhao, Rui (is a PhD student at Lanzhou University, China) / Zhi, Peng (PhD student, School of Information Science and Engineering, Lanzhou University, China)
- ISBN: 978-0-323-99448-4
- EAN: 9780323994484
- Produktnummer: 38168470
- Verlag: Elsevier - Health Sciences Division
- Sprache: Englisch
- Erscheinungsjahr: 2022
- Seitenangabe: 342 S.
- Masse: H15.1 cm x B22.7 cm x D2.1 cm 548 g
- Gewicht: 548
- Sonstiges: Professional & Vocational
Über den Autor
Qingguo Zhou is Professor at Lanzhou University and Deputy Director of the Engineering Research Center for Open Source Software and Real-Time Systems, at the Ministry of Education, China. He is also the Director of the School of Computer Science and Engineering and the Embedded System Laboratory at Lanzhou University. His research focuses on intelligent driving, AI, embedded and real-time systems. He has published widely.
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