Open AccessLane‐keeping system design considering driver's nervousness via scene analysis
Author(s) -
Li Bin,
Zhang Jianwei,
Zhang Ce,
Pan Wei,
Cai Shuo,
Liu Yang,
Li He
Publication year - 2020
Publication title -
iet intelligent transport systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.579
H-Index - 45
eISSN - 1751-9578
pISSN - 1751-956X
DOI - 10.1049/iet-its.2019.0518
Subject(s) - robustness (evolution) , computer science , key (lock) , real time computing , simulation , engineering , computer security , biochemistry , chemistry , gene
To alleviate the driver's nervousness, a lane‐keeping algorithm based on scene analysis is proposed. From the driver's point of view, two key parameters are studied, which are the distance between the traffics car and the lane centreline of the host car, and the time‐gap difference between the host car and the traffic car. The designed scene analysis algorithm is mainly based on these two parameters to screen out dangerous traffic vehicles. To ensure driving comfort when driving states change, a five‐power polynomial is used to plan a smooth path based on the location of the dangerous traffic vehicle. Considering the real‐time and robustness of the control algorithm, this study proposes a feedforward and feedback control architecture combined with the preview‐following theory. To verify the algorithm, a variety of typical tests are designed. The experimental results show that the algorithm can make the vehicle smoothly follow the planning path.