TY - GEN
T1 - Parking slot markings recognition for automatic parking assist system
AU - Ho, Gi Jung
AU - Dong, Suk Kim
AU - Pal, Joo Yoon
AU - Jaihie, Kim
PY - 2006
Y1 - 2006
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=34547319631&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34547319631&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:34547319631
SN - 490112286X
SN - 9784901122863
T3 - IEEE Intelligent Vehicles Symposium, Proceedings
SP - 106
EP - 113
BT - 2006 IEEE Intelligent Vehicles Symposium, IV 2006
T2 - 2006 IEEE Intelligent Vehicles Symposium, IV 2006
Y2 - 13 June 2006 through 15 June 2006
ER -