Vision System of Unmanned Ground Vehicle

被引：0

作者：

Moon, Hee Chang ^{[1
]}

Min, Kyoung Moo ^{[1
]}

Kim, Jung Ha ^{[2
]}

机构：

[1] Kookmin Univ, Grad Sch Automot Engn, Seoul, South Korea

[2] Kookmin Univ, Dept Mech & Automot Engn, Seoul, South Korea

来源：

2008 INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS, VOLS 1-4 | 2008年

关键词：

Lane Detection; Vision; Image Processing; Hough Transform; Inverse perspective transform UGV(Unmanned Ground Vehicle);

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：

This article describes the design of a vision sensing system with application to the urban operation of unmanned ground vehicles. This paper details a procedure for the detection, classification, and localization of lane markings and speed bumps to safely and autonomously navigate an urban roadway. The detection algorithm was developed using National Instruments LabVIEW tool using a CCD camera over 1394 data interface. To demonstrate the algorithm's effectiveness, experimental results were obtained when applying the algorithm in extreme lighting conditions including shadow, noise, and bright scenarios which showed the approach as responsive and robust to such variations.

引用

页码：522 / 526

页数：5