Fast lane detection with Randomized Hough Transform

Azali Saudi, and Teo, Jason Tze Wi and Mohd Hanafi Ahmad Hijazi, and Jumat Sulaiman, (2008) Fast lane detection with Randomized Hough Transform. In: International Symposium on Information Technology 2008, 26-29 Aug 2008, Kuala Lumpur, Malaysia.

Full text not available from this repository.

Abstract

Lane detection is an essential component of autonomous mobile robot applications. Any lane detection method has to deal with the varying conditions of the lane and surrounding that the robot would encounter while moving. Lane detection procedure can provide estimates for the position and orientation of the robot within the lane and also can provide a reference system for locating other obstacles in the path of the robot. In this paper we present a method for lane detection in video frames of a camera mounted on top of the mobile robot. Given video input from the camera, the gradient of the current lane in the near field of view are automatically detected. Randomized Hough Transform is used for extracting parametric curves from the images acquired. A priori knowledge of the lane position is assumed for better accuracy of lane detection.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords: Lane detection, Randomized Hough Transform, Mobile robot
Subjects: ?? TJ210.2-211.47 ??
Divisions: SCHOOL > School of Engineering and Information Technology
SCHOOL > School of Science and Technology
Depositing User: Unnamed user with email storage.bpmlib@ums.edu.my
Date Deposited: 25 Feb 2011 02:16
Last Modified: 30 Dec 2014 06:40
URI: http://eprints.ums.edu.my/id/eprint/1856

Actions (login required)

View Item View Item

Browse Repository
Collection
   Articles
   Book
   Speeches
   Thesis
   UMS News
Search
Quick Search

   Latest Repository

Link to other Malaysia University Institutional Repository

Malaysia University Institutional Repository