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A Road Marking Extraction Method Using GPGPU

Title
A Road Marking Extraction Method Using GPGPU
Authors
Ding, Da JunYu, Jong SuJung, Je KyoKwon, Soon
DGIST Authors
Ding, Da Jun; Yu, Jong Su; Jung, Je Kyo; Kwon, Soon
Issue Date
2014
Citation
Advanced Science and Technology Letters, 50, 46-54
Type
Article
ISSN
2287-1233
Abstract
In driving assistance system (DAS), road marking’s data can provide important assistance for driving safety. As the input image usually includes unnecessary information, lane detection system usually needs to remove most unnecessary data except for the lane markings. In this paper, a road marking extraction method is proposed to separate the painted lane lines using a special designed band-pass filter. Then we tried the acceleration method based on the integral image as well as the GPGPU. Road markings can be segmented automatically and adaptively in every frame. The proposed method is applied to various video images from black box, and is verified to be robust.
URI
http://hdl.handle.net/20.500.11750/13377
https://pdfs.semanticscholar.org/411f/a934934a23d63f055483cb8ab84b097dc13d.pdf
DOI
10.14257/astl.2014.50.08
Publisher
Advanced Science and Technology Letters
Related Researcher
  • Author Kwon, Soon  
  • Research Interests computer vision; deep learning; autonomous driving; parallel processing; vision system on chip
Files:
There are no files associated with this item.
Collection:
Division of Automotive Technology1. Journal Articles


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