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http://dx.doi.org/10.7319/kogsis.2013.21.3.055

A Study on Automatic Detection of Speed Bump by using Mathematical Morphology Image Filters while Driving  

Joo, Yong Jin (Aerial GeoInformatics, Inha Technical College)
Hahm, Chang Hahk (Aerial GeoInformatics, Inha Technical College)
Publication Information
Journal of Korean Society for Geospatial Information Science / v.21, no.3, 2013 , pp. 55-62 More about this Journal
Abstract
This paper aims to detect Speed Bump by using Omni-directional Camera and to suggest Real-time update scheme of Speed Bump through Vision Based Approach. In order to detect Speed Bump from sequence of camera images, noise should be removed as well as spot estimated as shape and pattern for speed bump should be detected first. Now that speed bump has a regular form of white and yellow area, we extracted speed bump on the road by applying erosion and dilation morphological operations and by using the HSV color model. By collecting huge panoramic images from the camera, we are able to detect the target object and to calculate the distance through GPS log data. Last but not least, we evaluated accuracy of obtained result and detection algorithm by implementing SLAMS (Simultaneous Localization and Mapping system).
Keywords
Morphology; Speed Bump; HSV Color Model; Omni-directional Camera; SLAMs;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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