Analysis of Driver's Visual Attention Using Near-Miss Incidents

被引：0
|
作者：
Yoshizawa, Akira [1 ]
Iwasaki, Hirotoshi [1 ]
机构：
[1] Denso IT Lab Inc, Tokyo, Japan
来源：
2017 IEEE 16TH INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS & COGNITIVE COMPUTING (ICCI*CC) | 2017年
关键词：
eye tracking; attention; driver distraction; pedestrian detection;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The number of fatal traffic accidents has been decreasing in Japan because of vehicles' recent safety technologies, such as stiff cabins, antilock braking systems, and seat belts. Automated vehicles and advanced driver assistance systems can advance the trend. However, many traffic accidents occur on narrow streets in residential sections, where it is difficult for even advanced vehicles to drive safely. In this research, we utilized a near-miss incident database to analyze driver gazing. The result showed that preventive warning systems are useful for avoiding traffic accidents.
引用
收藏
页码：353 / 360
页数：8
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