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Multi-Lane Dection and Tracking using Dual Parabolic Model
- Title
- Multi-Lane Dection and Tracking using Dual Parabolic Model
- Authors
- Kwon, Soon; Ding, Da Jun; Yu, Jong Su; Jung, Je Kyo; Jin, Sung Ho
- DGIST Authors
- Kwon, Soon; Ding, Da Jun; Yu, Jong Su; Jung, Je Kyo; Jin, Sung Ho
- Issue Date
- 2015-01
- Citation
- Bulletin of Networking, Computing, Systems, and Software, 4(1), 65-68
- Type
- Article
- ISSN
- 2186-5140
- Abstract
- Multi-lane recognition system gives a significant assistance for driver’s safety. In this paper, we try to use a dual parabolic model for more precious and robust lane description. For gathering an efficient feature, we used a parallel RANSAC algorithm. The line model characterization is combined with adjacent point histogram peak analysis and two-axis parabola. Proposed algorithm can detect lane automatically and adaptively in every frame. The designed method is applied using various video images captured from the commercial black box camera and is verified to be robust.
- URI
- http://hdl.handle.net/20.500.11750/13340
- Publisher
- Science & Engineering Research Support soCiety
- Related Researcher
-
-
Kwon, Soon
-
Research Interests
computer vision; deep learning; autonomous driving; parallel processing; vision system on chip
- Files:
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- Collection:
- Division of Automotive Technology1. Journal Articles
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