Yang Xing, Chen Lv, Dongpu Cao

Advanced Driver Intention Inference (eBook, ePUB)

Theory and Design

• Format: ePub

Produktbeschreibung

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 products
• Depicts future trends for driver behavior detection and driver intention inference
• Discuss traffic context perception techniques that predict driver intentions such as Lidar and GPS

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 258
• Erscheinungstermin: 15. März 2020
• Englisch
• ISBN-13: 9780128191149
• Artikelnr.: 61687852

Autorenporträt

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.