The ories 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 introduce...

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Autori principali: Zhou, Qingguo, Shen, Zebang (Autore), Yong, Binbin (Autore), Zhao, Rui (Autore), Zhi, Peng (Autore)
Natura: Livre numérique
Lingua:Anglais
Pubblicazione: San Diego, CA : Elsevier Science 2022.
Paris : Cyberlibris
Accesso online:Accès Université d'Orléans et IFPM
Accès INSA CVL
Nota: Couverture. https://static2.cyberlibris.com/books_upload/136pix/9780323994491.jpg
Cyberlibris (ScholarVox) corpus Sciences de l'ingénieur
Cyberlibris (ScholarVox) corpus Sciences de l'ingénieur
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• The ories and Practices of Self-Driving Vehicles, Qingguo Zhou, Zebang Shen, Binbin Yong, [et autres], San Diego, CA, Elsevier Science, 2022, 1 vol. (691 p.), 978-03-2399-448-4
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520 |a 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 accessible handbook to the entire stack of technology in a self-driving vehicle. Theories and Practice of Self-Driving Vehicles presents an introduction to self-driving vehicle technology from principles to practice. Ten chapters cover the full stack of driverless technology for a self-driving vehicle. Written by two authors experienced in both industry and research, this book offers an accessible and systematic introduction to self-driving vehicle technology. Provides a comprehensive introduction to the technology stack of a self-driving vehicle Covers the three domains of perception, planning and control Offers foundational theory and best practices Introduces advanced control algorithms and high-potential areas of new research Gives engineers, technicians and students an accessible handbook to self-driving vehicle technology and applications 
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700 1 |a Zhao, Rui.  |4 aut 
700 1 |a Zhi, Peng.  |4 aut 
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