Real‐Time Non‐Driving Behavior Recognition Using Deep Learning‐Assisted Triboelectric Sensors in Conditionally Automated Driving-Reference-Cited by-同舟云学术

Real‐Time Non‐Driving Behavior Recognition Using Deep Learning‐Assisted Triboelectric Sensors in Conditionally Automated Driving

Published:2022-12-07 Issue:6 Volume:33 Page:2210580
ISSN:1616-301X
Container-title:Advanced Functional Materials
language:en
Short-container-title:Adv Funct Materials

Author:

Zhang Haodong¹,Tan Haiqiu¹,Wang Wuhong¹^ORCID,Li Zhihao¹,Chen Facheng²,Jiang Xiaobei¹,Lu Xiao³,Hu Yanqiang¹,Li Lizhou¹,Zhang Jie¹,Si Yihao¹,Wang Xiaoli¹,Bengler Klaus⁴

Affiliation:

1. School of Mechanical Engineering Beijing Institute of Technology Beijing 100081 China

2. Department of Traffic Management School People's Public Security University of China Beijing 100038 China

3. Shanghai Key Laboratory of Intelligent Manufacturing and Robotics School of Mechatronic Engineering and Automation Shanghai University Shanghai 200444 China

4. Department of Mechanical Engineering Technical University of Munich 85747 Garching Germany

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Electrochemistry,Condensed Matter Physics,Biomaterials,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adfm.202210580

Reference57 articles.

1. Effects of assignments of dedicated automated vehicle lanes and inter-vehicle distances of automated vehicle platoons on car-following performance of nearby manual vehicle drivers

2. Modeling take-over performance in level 3 conditionally automated vehicles

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