Image Processing Based Lane Crossing Detection Alert System to Avoid Vehicle Collision

被引：0

作者：

Priyangha, B. S. ^{[1
]}

Thiyaneswaran, B. ^{[2
]}

Yoganathan, N. S. ^{[2
]}

机构：

[1] Sona Coll Technol, Commun Syst, Salem, India

[2] Sona Coll Technol, Dept Elect & Commun, Salem, India

来源：

COMPUTATIONAL VISION AND BIO-INSPIRED COMPUTING | 2020年 / 1108卷

关键词：

Lane; Hough transform; Median filter; Android;

D O I：

10.1007/978-3-030-37218-7_7

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In recent years, the lackadaisical lane crossing of vehicles causes major accidents on the highway roads. Particularly, in India different lane systems are available, they are 4-way, 6way, and 8-way lane systems. The proposedwork helps to identify the unwanted lane crossing activities and send an alert to the vehicle driver. A smart mobile is fixed in the dashpot and captures the lane video. The video is then converted into frames and the frame is detected using median filter, thresholding, and Hough transforms. In the lane, track marking is detected using pattern match and Kalman filter. The detected lane track is marked in different coloring and shown in the smart phone display. The proposed work is tested and compared with the existing lane crossing algorithms.

引用

页码：56 / 61

页数：6

共 16 条

[1] Lane Departure Identification for Advanced Driver Assistance [J].