Premium
Automatic driving system using identification of switched systems with unknown switch points
Author(s) -
Ma Shangchang,
Zanma Tadanao,
Ishida Muneaki
Publication year - 2006
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.20077
Subject(s) - acceleration , computer science , identification (biology) , hyperplane , trajectory , simulation , control engineering , engineering , real time computing , physics , geometry , mathematics , classical mechanics , astronomy , botany , biology
In this paper, we propose a modeling method for evaluating drivers' driving skill, with which automatic driving of a vehicle is realized. The method is to formulate the automatic driving system of a vehicle as a switched system with unknown switch points by using the hinging hyperplane auto regressive eXternal (HHARX) model, which can extract driving operation modes and their switch conditions simultaneously. To verify the effectiveness, we apply the proposed method to an automatic driving system of a small remote‐controlled vehicle, instead of a real vehicle. Simulation results illustrate that the obtained models can achieve functions such as start acceleration, normal traveling, stop deceleration and auto steering in the automatic driving system. © 2006 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.