Browsing by Author "Na, Xiaoxiang"

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Identification and analysis of driver postures for in-vehicle driving activities and secondary tasks recognition

Xing, Yang; Lv, Chen; Zhang, Zhaozhong; Wang, Huaji; Na, Xiaoxiang; Cao, Dongpu; Velenis, Efstathios; Wang, Fei-Yue (IEEE, 2018-12-25)

Driver decisions and behaviors regarding the surrounding traffic are critical to traffic safety. It is important for an intelligent vehicle to understand driver behavior and assist in driving tasks according to their status. ...
Levenberg-Marquardt backpropagation training of multilayer neural networks for state estimation of a safety critical cyber-physical system

Lv, Chen; Xing, Yang; Zhang, Junzhi; Na, Xiaoxiang; Li, Yutong; Liu, Teng; Cao, Dongpu; Wang, Fei-Yue (IEEE, 2017-11-24)

As an important safety critical cyber-physical system (CPS), the braking system is essential to the safe operation of the electric vehicle. Accurate estimation of the brake pressure is of great importance for automotive ...
Milestones in autonomous driving and intelligent vehicles: survey of surveys

Chen, Long; Li, Yuchen; Huang, Chao; Li, Bai; Xing, Yang; Tian, Daxin; Li, Li; Hu, Zhongxu; Na, Xiaoxiang; Li, Zixuan; Teng, Siyu; Lv, Chen; Wang, Jinjun; Cao, Dongpu; Zheng, Nanning; Wang, Fei-Yue (IEEE, 2022-11-24)

Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace due to the convenience, safety, and economic benefits. Although a number of surveys have reviewed research achievements in this ...

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