A Real-Time Lane Departure Warning and Vehicle Detection System using Monoscopic Camera

被引：0

作者：

Vinuchandran, A. V. ^{[1
]}

Shanmughasundaram, R. ^{[1
]}

机构：

[1] Amrita Univ, Amrita Vishwa Vidyapeetham, Amrita Sch Engn, Dept Elect & Elect Engn, Coimbatore, Tamil Nadu, India

来源：

2017 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING, INSTRUMENTATION AND CONTROL TECHNOLOGIES (ICICICT) | 2017年

关键词：

Lane detection; Vehicle detection; LDWS; Hough transform; RANSAC; Bezier splines; Multi threading;

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：

The number of road accidents in the world is increasing every year due to driver negligence. Unintended lane departure and rear end collisions are some of the main reason behind road accidents in the freeway. This project presents an efficient, robust Lane Departure Warning System (LDWS) and a frontal collision warning system, which work on different illumination conditions. The system uses a monoscopic dashboard camera fitted in the windshield of the car. The algorithm makes a birds-eye view (top-view) of the road using Inverse Perspective Mapping. Hough transform is applied on this IPM to find the candidate points of lanes, and finally RANSAC Bezier spline fitting is done to find out the actual lanes. To detect vehicles, Hough transform is applied on the image to check for horizontal lines made by the vehicle. Multithreding is done to improve the performance of the system and to utilize maximum system resources.

引用

页码：1565 / 1569

页数：5

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