Journal of Intelligent and Connected Vehicles: Volume 1 Issue 3 , Open Access

Effects of feature selection on lane-change maneuver recognition: an analysis of naturalistic driving data

Xiaohan Li, Wenshuo Wang, Zhang Zhang, Matthias Rötting

Feature selection is crucial for machine learning to recognize lane-change (LC) maneuver as there exist a large number of feature candidates. Blindly using feature could take up…

Influence of automated driving on driver’s own localization: a driving simulator study

Ryuichi Umeno, Makoto Itoh, Satoshi Kitazaki

Level 3 automated driving, which has been defined by the Society of Automotive Engineers, may cause driver drowsiness or lack of situation awareness, which can make it difficult…

Study on driver’s braking intention identification based on functional near-infrared spectroscopy

Lei Zhu, Shuguang Li, Yaohua Li, Min Wang, Yanyu Li, Jin Yao

Cooperative driving refers to a notion that intelligent system sharing controlling with human driver and completing driving task together. One of the key technologies is that the…

Analysis of drivers’ characteristic driving operations based on combined features

Min Wang, Shuguang Li, Lei Zhu, Jin Yao

Analysis of characteristic driving operations can help develop supports for drivers with different driving skills. However, the existing knowledge on analysis of driving skills…