Curb detection and following in various environments by adjusting tilt angle of a laser scanner

Dong Wook Lee, Yong Ju Lee, Jae Bok Song, Joo Hyun Baek, Jae Kwan Ryu

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

When a robot navigates in an outdoor environment, a curb or a sidewalk separated from the road can be used as a robust feature. However, most algorithms could detect the curb only in the straight road, and could not detect highly curved corners, ramps, and so on. This paper proposes an algorithm which enables the robot to detect and follow the curbs in various types of roads. In the proposed method, the robot tilts a laser scanner and computes the error between the predicted and the measured distances to the road in front of the robot. Based on this error, the curbs at corners and curves can be classified. It is also difficult to detect a curb near a ramp because of its low height. In this case, the robot also tilts a laser scanner to detect the curb beyond the ramp. Once the robot classifies the road into the curve, corner, ramp, the robot selects the proper navigation strategies depending on the classified road types and is able to continue to detect and follow the curb. The results of a series of experiments show that the robot can stably detect and follows the curb in curves, corners and ramps as well as the straight road.

Original languageEnglish
Pages (from-to)1068-1073
Number of pages6
JournalJournal of Institute of Control, Robotics and Systems
Volume16
Issue number11
DOIs
Publication statusPublished - 2010 Nov

Keywords

  • Curb detection
  • Curb following
  • Outdoor navigation

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Applied Mathematics

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