Advanced Driver Intention Inference (ePub)
Theory and Design
(Sprache: Englisch)
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...
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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
Autoren-Porträt von Yang Xing, Chen Lv, Dongpu Cao
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.
Bibliographische Angaben
- Autoren: Yang Xing , Chen Lv , Dongpu Cao
- 2020, 258 Seiten, Englisch
- Verlag: Elsevier Science & Techn.
- ISBN-10: 0128191147
- ISBN-13: 9780128191149
- Erscheinungsdatum: 15.03.2020
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eBook Informationen
- Dateiformat: ePub
- Grösse: 92 MB
- Mit Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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