文章基本信息

标题：Lane Change Detection and Tracking for a Safe-Lane Approach in Real Time Vision Based Navigation Systems
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作者：Gayathiri Somasundaram ; Kavitha ; K.I.Ramachandran 等
期刊名称：Computer Science & Information Technology
电子版ISSN：2231-5403
出版年度：2011
卷号：1
期号：2
页码：345-361
DOI：10.5121/csit.2011.1231
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Image sequences recorded with cameras mounted in a moving vehicle provide information about the vehicle's environment which has to be analysed in order to really support the driver in actual traffic situations. One type of information is the lane structure surrounding the vehicle. Therefore, driver assistance functions which make explicit use of the lane structure represented by lane borders and lane markings is to be analysed. Lane analysis is performed on the road region to remove road pixels. Only lane markings are the interests for the lane detection process. Once the lane boundaries are located, the possible edge pixels are scanned to continuously obtain the lane model. The developed system can reduce the complexity of vision data processing and meet the real time requirements.
关键词：Edge pixels ; lane boundaries; road pixels; linear parabolic lane model.