Road Boundary Detection for Straight and Curved Lane Lines
Pages 59 - 63
Abstract
This paper presents a feature-based method for road boundary detection in both straight and curved lane lines. The Sobel edge detection is performed followed by Inverse Perspective Mapping (IPM) to extract feature points from left and right lane markings. The polynomial regression is then applied to approximate both lane lines from two datasets of points. Finally, the slopes of both lines are exploited for identifying the direction of road lane to help drivers for decision making while driving. Experiments are conducted on 2-D road images downloaded from the Internet. The results are demonstrated the effectiveness and robustness under various situations.
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Published In
December 2019
216 pages
ISBN:9781450372633
DOI:10.1145/3375959
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Published: 16 February 2020
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AICCC 2019
AICCC 2019: 2019 2nd Artificial Intelligence and Cloud Computing Conference
December 21 - 23, 2019
Kobe, Japan
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