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Content Provider | IEEE Xplore Digital Library |
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Author | Qing Li Nanning Zheng Hong Cheng |
Copyright Year | 2003 |
Description | Author affiliation: Inst. of Artifical Intelligence & Robitics, Xi'an Jiaotong Univ., China (Qing Li; Nanning Zheng; Hong Cheng) |
Abstract | A novel algorithm is represented to determine the position of markings in the presence of distracting shadows, highlight, pavement cracks, etc. RGB color space is transformed intoI/sub 1/I/sub 2/I/sub 3/ color space and I/sub 2/ component is used to form a new image with less affection of the clutter. Using an improved edge detection operator, an edge strength map is produced and binarilized by adaptive thresholds. The binary image is labeled and circularity of all connected components is calculated. The self-organizing maps is adopted to extract regions that imply potential markings. Finally the position of markings is obtained by curve fitting. Here color information is utilized fully and all thresholds are set adaptively. The method based on circularity of connected component shows its outstanding robustness to lane markings detection and has a wide variety of applications in the areas of vehicle autonomous navigation and driver assistance system. |
Starting Page | 510 |
Ending Page | 514 |
File Size | 421681 |
Page Count | 5 |
File Format | |
ISBN | 0780381254 |
DOI | 10.1109/ITSC.2003.1252005 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2003-10-12 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Image edge detection Self organizing feature maps Data mining Curve fitting Robustness Vehicle detection Remotely operated vehicles Vehicle driving Mobile robots Navigation |
Content Type | Text |
Resource Type | Article |
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