Paper Title:
A New Roadside Detection Method Based on Obstacle Detection
  Abstract

In order to provide road information for outdoor mobile robot in a complicated environment, a new roadside detection method is proposed based on obstacle detection by applying a four-layer laser radar LD_ML. Because roadside obstacles distribute alone a road, theirs fitting straight lines are parallel to the road. The roadsides detection algorithm includes four steps: first, judge if there are obstacles along roadside or not; second, extract obstacles which belong to roadsides; third, build fitting straight lines through the roadside obstacles; at last, in order to obtain steady and precise roadsides, a EKF method is performed to track the roadsides. The results of experiment have testified the road roadsides detection algorithm has high stability and reliability.

  Info
Periodical
Chapter
Chapter 2: Signal and Image Processing in Industry
Edited by
Gary Yang
Pages
324-328
DOI
10.4028/www.scientific.net/AMR.429.324
Citation
C. H. Yu, D. P. Zhang, R. Guo, "A New Roadside Detection Method Based on Obstacle Detection", Advanced Materials Research, Vol. 429, pp. 324-328, 2012
Online since
January 2012
Export
Price
$32.00
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