Result: Structure analysis based parking slot marking recognition for semi-automatic parking system

Title:
Structure analysis based parking slot marking recognition for semi-automatic parking system
Authors:
HO GI JUNG, DONG SUK KIM, PAL JOO YOON, KIM, Jaihie
Source:
Structural, syntactic, and statistical pattern recognition (joint IAPR international workshops, SSPR 2006 and SPR 2006, Hong Kong, China, August 17-19, 2006)0SSPR 2006. :384-393
Publisher Information:
Berlin: Springer, 2006.
Publication Year:
2006
Physical Description:
print, 12 ref 1
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Logiciel, Software, Organisation des mémoires. Traitement des données, Memory organisation. Data processing, Traitement des données. Listes et chaînes de caractères, Data processing. List processing. Character string processing, Intelligence artificielle, Artificial intelligence, Reconnaissance des formes. Traitement numérique des images. Géométrie algorithmique, Pattern recognition. Digital image processing. Computational geometry, Analyse statistique, Statistical analysis, Análisis estadístico, Analyse structurale, Structural analysis, Análisis estructural, Analyse syntaxique, Syntactic analysis, Análisis sintáxico, Distorsion signal, Signal distortion, Distorsión señal, Détection cible, Target detection, Detección blanco, Eclairement, Illumination, Alumbrado, Gradient, Gradiente, Homographe, Homograph, Homógrafo, Interface utilisateur, User interface, Interfase usuario, Luminance, Luminancia, Reconnaissance automatique, Automatic recognition, Reconocimiento automático, Reconnaissance forme, Pattern recognition, Reconocimiento patrón, Segment droite, Line segment, Segmento recta, Semence, Seed, Semilla, Stationnement, Parking, Estacionamiento, Vision monoculaire, Monocular vision, Visión monocular, Vision ordinateur, Computer vision, Visión ordenador
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
MANDO Corporation Central R&D Center, Advanced Electronic System Team 413-5, Gomae-Dong, Giheung-Gu, Yongin-Si, Kyonggi-Do 446-901, Korea, Republic of
Yonsei University, School of Electrical and Electronic Engineering 134, Sinchon-Dong, Seodaemun-Gu, Seoul 120-749, Korea, Republic of
ISSN:
0302-9743
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=19151991
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.19151991
Database:
PASCAL Archive

Further Information

Semi-automatic parking system is a driver convenience system automating steering control required during parking operation. This paper proposes novel monocular-vision based target parking-slot recognition by recognizing parking-slot markings when driver designates a seed-point inside the target parking-slot with touch screen. Proposed method compensates the distortion of fisheye lens and constructs a bird's eye view image using homography. Because adjacent vehicles are projected along the outward direction from camera in the bird's eye view image, if marking line-segment distinguishing parking-slots from roadway and front-ends of marking line-segments dividing parking-slots are observed, proposed method successfully recognizes the target parking-slot marking. Directional intensity gradient, utilizing the width of marking line-segment and the direction of seed-point with respect to camera position as a prior knowledge, can detect marking line-segments irrespective of noise and illumination variation. Making efficient use of the structure of parking-slot markings in the bird's eye view image, proposed method simply recognizes the target parking-slot marking. It is validated by experiments that proposed method can successfully recognize target parking-slot under various situations and illumination conditions.