Driving assistance system based on the gaze analysis of drivers

2017 Fiscal Year Final Research Report

• Project/Area Number: 15K00308
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Intelligent informatics
• Research Institution: Hiroshima City University
• Principal Investigator: Li SHIGANG 広島市立大学, 情報科学研究科, 教授 (50252630)
• Co-Investigator(Kenkyū-buntansha): 白岩 史 鳥取大学, 工学研究科, 助教 (80640276)
• Project Period (FY): 2015-04-01 – 2018-03-31
• Keywords: 運転補助 / 視線推定 / 注意解析

Outline of Final Research Achievements

The achievements of this research project are as follows. (1) We proposed new methods of estimating gaze direction by using eye-model and predicting the position and shape deformation of iris in image. Furthermore, we also developed a new method of estimating gaze points of scenes by using a full-view camera. (2) We carried out the analysis of driving environment by a full-view camera mounted on roof of an electrical vehicle. (3) We carried out the prediction of users’ gaze by generating a salience map using deep learning approach. And the comparative experiments were also carried out to evaluate the proposed methods.

Free Research Field

ロボットビジョン、マンマシンインタフェース