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Proceedings Paper

Lane detection using road planar information
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Paper Abstract

Intelligent vehicles have many applications in the military, aerospace, and other industries, including land-mine detection for the military, patient transportation in hospitals, and many other domains that often require automation to reduce risks to the human operators. One of important tasks of intelligent vehicles is the navigation, whose goal is to extract and determine the appropriate path that leads to a destination based on perceived environmental information. The objective of our work is to develop a simple and effective method to detect and extract road lanes and boundaries. We propose a solution by incorporating the planar information of road surfaces. We first detect all possible edges in the captured images. The straight lanes and boundaries are extracted as straight lines, which generate a vanishing point. The straight lines are described with Hough transform. A cluster analysis in Hough space is used to detect the vanishing point on road. Further, we search lines passing through the vanishing point from 180 degrees to 270 degrees and from 0 degree to negative 90 degrees. The first two strong lines will be extracted as road boundaries.

Paper Details

Date Published: 5 May 2011
PDF: 8 pages
Proc. SPIE 8050, Signal Processing, Sensor Fusion, and Target Recognition XX, 80501H (5 May 2011); doi: 10.1117/12.884444
Show Author Affiliations
Qiang He, Mississippi Valley State Univ. (United States)
Chee-Hung Henry Chu, Univ. of Louisiana at Lafayette (United States)

Published in SPIE Proceedings Vol. 8050:
Signal Processing, Sensor Fusion, and Target Recognition XX
Ivan Kadar, Editor(s)

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