Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/14601
ชื่อเรื่อง: Lane detection using smoothing spline
ผู้แต่ง: Nuthong C.
Charoenpong T.
Keywords: Control point
In-vehicle
K-means clustering techniques
Lane detection
Lane tracking
Lane-departure-warning systems
Original images
Principle component analysis
Smoothing spline
Video streams
Algorithms
Contour measurement
Principal component analysis
Signal processing
Splines
Signal detection
วันที่เผยแพร่: 2010
บทคัดย่อ: In vehicle safety research area, a Lane Departure Warning System (LDWS) is of a major interest. The system, however, needs lane detection and lane tracking as basis. This paper proposes an algorithm used to detect the lane as an initialization for lane tracking. The algorithm takes an image captured from a video stream as an input. It then segments the image into a number of small tiles and applies the Principle Component Analysis (PCA) to each tile in order to find the centroid and the principle axis. After recovering the original image from all of the tiles, the probable lines are found using k-means clustering techniques. Two out of these lines will be selected to be the lanes of the road. At the end, the corresponding centroid points are chosen to be represented as control points of smoothing splines represented the lane. This obtained splines are aimed to be used further as an initialization of the lane tracking algorithm. The method has been tested and worked fine. However, its limitation has also been stated and needed to be improved in the future. ©2010 IEEE.
URI: https://ir.swu.ac.th/jspui/handle/123456789/14601
https://www.scopus.com/inward/record.uri?eid=2-s2.0-78650533813&doi=10.1109%2fCISP.2010.5646935&partnerID=40&md5=a9623f0eeac8e53eb8ad704dd7acaca1
Appears in Collections:Scopus 1983-2021

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