Real-Time Lane Detection and Tracking System Using Simple Filter and Kalman Filter

被引：0

作者：

Lee, Deok-Kwon ^{[1
]}

Shin, Ju-Seok ^{[1
]}

Jung, Je-Han ^{[1
]}

Park, Sang-Jun ^{[1
]}

Oh, Se-Jin ^{[2
]}

Lee, In-Soo ^{[3
]}

机构：

[1] Erae Grp R&D Ctr, ADAS Dev Team, Daegu, South Korea

[2] Kyungwoon Univ, Aeronaut & Software Engn, Gumi, South Korea

[3] Kyungpook Natl Univ, Elect Engn, Daegu, South Korea

来源：

2017 NINTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN 2017) | 2017年

关键词：

Lane Detection; Lane Tracking; Real-time Lane Departure Warning System; Hardware Implementation;

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：

In this paper, we propose a real-time lane detection and tracking algorithm using a simple filter and Kalman filter to develop a Lane Departure Warning System(LDWS) that can be implemented in an embedded system. Our LDWS was realized on the I. MX6Q board, mounted on a test vehicle, and traveled about 1,000km to derive the experimental results. Experimental results show that our LDWS operates at 97% detection rate in the day time and 95% in the night time. The average processing time of the our LDWS is about 15frame per seconds.

引用

页码：275 / 277

页数：3

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