Parking slot markings recognition for automatic parking assist system

Gi Jung Ho, Suk Kim Dong, Joo Yoon Pal, Kim Jaihie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

68 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2006 IEEE Intelligent Vehicles Symposium, IV 2006
Pages106-113
Number of pages8
Publication statusPublished - 2006
Event2006 IEEE Intelligent Vehicles Symposium, IV 2006 - Meguro-Ku, Tokyo, Japan
Duration: 2006 Jun 132006 Jun 15

Publication series

NameIEEE Intelligent Vehicles Symposium, Proceedings

Other

Other2006 IEEE Intelligent Vehicles Symposium, IV 2006
CountryJapan
CityMeguro-Ku, Tokyo
Period06/6/1306/6/15

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Automotive Engineering
  • Computer Science Applications

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