FPGA Based Real-Time Lane Detection and Tracking Implementation

被引：0

作者：

El hajjouji, I. ^{[1
]}

El mourabit, A. ^{[1
]}

Asrih, Z. ^{[1
]}

Mars, S. ^{[1
]}

Bernoussi, B. ^{[1
]}

机构：

[1] UAE Univ, Natl Sch Appl Sci, Lab Informat & Commun Technol, Tangier, Morocco

来源：

2016 INTERNATIONAL CONFERENCE ON ELECTRICAL AND INFORMATION TECHNOLOGIES (ICEIT) | 2016年

关键词：

FPGA; Sobel; Adaptive Threshold; CORDIC; Hough; Kalman Filter;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this article, we present a system for robust lane detection and tracking. The proposed algorithm has two main parts. The first one is for lane detection using the Sobel operator with an adaptive threshold and the Hough transform, and the second part deals with lane tracking using the Kalman filter. To meet real time requirements, we use gradient directions of edge stage to simplify CORDIC algorithm. The obtained results show that the proposed algorithm can reliably detect and track lanes in different illumination condition.

引用

页码：186 / 190

页数：5

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