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Analysis of braking intention based on fNIRS in driving simulation experiments

  • Published:2019-04-17 Issue:7 Volume:13 Page:1181-1189
  • ISSN:1751-9578
  • Container-title:IET Intelligent Transport Systems
  • language:en
  • Short-container-title:IET Intelligent Transport Systems

Author:

Zhu Lei12ORCID,Li Shuguang1,Li Yaohua3,Wang Min2,Zhang Chenyang2,Li Yanyu2,Yao Jin2,Ji Hao2

Affiliation:

1. School of Automation EngineeringUniversity of Electronic Science and Technology of ChinaChengduPeople's Republic of China

2. School of Manufacturing Science and Engineering, Sichuan UniversityChengduPeople's Republic of China

3. Department of NeurologyChengdu City First People's HospitalChengduPeople's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Reference26 articles.

1. SAE international: ‘Taxonomy and definitions for terms related to driving automated systems for on‐road motor vehicles’ 2016 J3016‐201609

2. Driver lane change characteristics for various highway driving conditions;Dang R.;J. Tsinghua Univ.,2013

3. Correlation of prefrontal cortical activation with changing vehicle speeds in actual driving: a vector‐based functional near‐infrared spectroscopy study;Yoshino K.;Front. Hum. Neurosci.,2013
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