Title :
Parking Slot Markings Recognition for Automatic Parking Assist System
Author :
Jung, Ho Gi ; Kim, Dong Suk ; Yoon, Pal Joo ; Kim, Jaihie
Author_Institution :
Central R&D Center, MANDO Corp., Yongin
Abstract :
This paper describes a monocular vision based parking-slot-markings recognition algorithm, which is used to automate the target position selection of automatic parking assist system. Peak-pair detection and clustering in Hough space recognize marking lines. Specially, one-dimensional filter in Hough space is designed to utilize a priori knowledge about the characteristics of marking lines in bird´s eye view edge image. Modified distance between point and line-segment is used to distinguish guideline from recognized marking line-segments. Once the guideline is successfully recognized, T-shape template matching easily recognizes dividing marking line-segments. Experiments show that proposed algorithm successfully recognizes parking slots even when adjacent vehicles occlude parking-slot-markings severely
Keywords :
computer vision; image matching; pattern clustering; traffic engineering computing; Hough space; T-shape template matching; automatic parking assist system; clustering; monocular vision based parking slot markings recognition; one-dimensional filter; peak-pair detection; target position selection; Filters; Guidelines; Image edge detection; Image recognition; Machine vision; Manufacturing automation; Sensor systems; Stereo vision; Surface fitting; Vehicles;
Conference_Titel :
Intelligent Vehicles Symposium, 2006 IEEE
Conference_Location :
Tokyo
Print_ISBN :
4-901122-86-X
DOI :
10.1109/IVS.2006.1689613
