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An Urban Lane Detection Method Based on Inverse Perspective Mapping

Title
An Urban Lane Detection Method Based on Inverse Perspective Mapping
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, 63, 53-58
Type
Article
ISSN
2287-1233
Abstract
Lane markings can provide drivers significant warning instruction about current/ approaching road condition, in that case precise lane marking detection results are important assistance for safety issue in the driving assistance system (DAS). In this paper, we mainly focus on urban lane marking detection. We used sampling peaks from IPM image for lane markings’ extraction and description. The proposed method is applied to various video images from black box, and is verified to be robust.
URI
http://hdl.handle.net/20.500.11750/13378
DOI
10.14257/astl.2014.63.11
Publisher
Science & Engineering Research Support soCiety
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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