A Real Time Lane Detection Algorithm Using LRF for Autonomous Navigation of a Mobile Robot

Abstract

This paper proposes a real time lane detection algorithm using LRF (Laser Range Finder) for autonomous navigation of a mobile robot. There are many technologies for safety of the vehicles such as airbags, ABS, EPS etc. The real time lane detection is a fundamental requirement for an automobile system that utilizes outside information of automobiles. Representative methods of lane recognition are vision-based and LRF-based systems. By the vision-based system, recognition of environment for three dimensional space becomes excellent only in good conditions for capturing images. However there are so many unexpected barriers such as bad illumination, occlusions, and vibrations that the vision cannot be used for satisfying the fundamental requirement. In this paper, we introduce a three dimensional lane detection algorithm using LRF, which is very robust against the illumination. For the three dimensional lane detections, the laser reflection difference between the asphalt and lane according to the color and distance has been utilized with the extraction of feature points. Also a stable tracking algorithm is introduced empirically in this research. The performance of the proposed algorithm of lane detection and tracking has been verified through the real experiments.

A Lane Change Recognition System for Smart Cars

“…최근의 차선인식은 에지기반의 방법 [3,4]으로 영상의 특 징을 추출하고 RANSAC [5] 알고리즘과 Hough Transform (HT)을 사용하여 소실점과 차선을 인식하는 방법 [6,7] 그림1. 역원근변환.…”