Road Edge Detection Based On Lidar Laser

被引：0

作者：

Duan, Jianmin ^{[1
]}

Valentyna, Aloshyna ^{[1
]}

机构：

[1] Beijing Univ Technol, Beijing Key Lab Traff Engn, Beijing, Peoples R China

来源：

FOURTH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND INFORMATION SCIENCES (CCAIS 2015) | 2015年

关键词：

drivable road recognition; Theil-Sen estimator; multilayer LiDAR; k-mean clustering; Hough method; canny edge detection;

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：

Research about vehicle recognition and adaptive cruise control is emerging recently, using various sensory resources. There are many sensors like cameras, GPS, accelerometers, radars etc., which are used for detecting edges of the road, traffic signs, cars or pedestrians. There are many different sensors to access the objects' data information. This paper presents defining the width of the road and cars. To accomplish this task the multilayer LIDAR (Light, Detection and Ranging) sensor is used. All data is graphically represented in two-dimensional space. In this paper such methods like k-mean clustering, canny edge detection, Hough method, Theil-Sen estimator are using. The process is conducted in MATLAB environment.

引用

页码：137 / 142

页数：6