Yang Xing

Advanced Driver Intention Inference

Theory and Design

Ebook (EPUB Format)

Advanced Driver Intention Inference: Theory and Design describes one of the most important function for future ADAS, namely, the driver intention inference. The book contains the state-of-art knowledge on the construction of driver intention inference system, providing a better understanding on how the human driver intention mechanism will contribute to a more naturalistic on-board decision system for automated vehicles.Features examples of using machine learning/deep learning to build industry productsDepicts future trends for driver behavior detection and driver intention inferenceDiscuss traffic context perception techniques that predict d… Mehr

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Produktdetails

Weitere Autoren: Lv, Chen / Cao, Dongpu

ISBN: 978-0-12-819114-9
EAN: 9780128191149
Produktnummer: 35966533
Verlag: Elsevier Science & Techn.
Sprache: Englisch
Erscheinungsjahr: 2020
Seitenangabe: 258 S.
Plattform: EPUB
Masse: 96'776 KB

Über den Autor

Yang Xing received his Ph. D. degree from Cranfield University, UK, in 2018. He is currently a research fellow with the department of mechanical and aerospace engineering at Nanyang Technological University, Singapore. His research interests include machine learning, driver behavior modeling, intelligent multi-agent collaboration, and intelligent/autonomous vehicles. His work focuses on the understanding of driver behaviors using machine-learning methods and intelligent and automated vehicle design. He received the IV2018 Best Workshop/Special Issue Paper Award. Dr. Xing serves as a Guest Editor for IEEE Internet of Thing, and he is an active reviewer for IEEE Transactions on Vehicular Technology, Industrial Electronics, and Intelligent Transportation Systems.