A Study on the Traffic Light Identification and Guidance System for the Elderly Drivers

被引：0

作者：

Roslan, Zhafri Hariz ^{[1
]}

Cho, Myeon-gyun ^{[1
]}

机构：

[1] Semyung Univ, Dept Informat & Commun, Jeachon, Chung Buk, South Korea

来源：

2018 TENTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN 2018) | 2018年

基金：

新加坡国家研究基金会;

关键词：

Advanced Driver Assistance System(ADAS); Traffic Light Detection (TLD); Voice Guidance; Elderly Drivers;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Recently, as the aging of society has progressed rapidly, the number of elderly drivers has increased dramatically. As the elderly people have lower physical and cognitive abilities compared to the general public, the increase and the damage of the traffic accident rate are becoming a social problem. Therefore, in this paper, we propose the identification and guidance system of traffic lights for elderly people with low physical and cognitive ability. A large portion of this system is based on the information processing based on visual surrounding using computer vision or image processing on Matlab. In the future, it will be possible to reduce the traffic accident rate by recognizing the traffic light with the black-box and smart-phone attached to the car and informing the elderly how to drive by voice.

引用

页码：756 / 758

页数：3

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