Free parking space detection using optical flow-based euclidean 3D reconstruction

Jae Kyu Suhr, Kwanghyuk Bae, Jaihie Kim, Ho Gi Jung

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

13 Citations (Scopus)

Abstract

An automatic parking system provides convenience for drivers by automatically finding free parking spaces and steering automobiles toward them. This paper proposes a vision-based free parking space detection system. The proposed method consists of two stages. First, the automobile rearview is three-dimensionally reconstructed using the optical flow-based method. The metric information is recovered using the scale ratio between the camera heights in the real world and the reconstructed world. Second, the free parking space is detected by estimating the parking space orientation and the reference point in the top-view of the reconstructed 3D structure. Experimental results show that the proposed method successfully reconstructs the 3D structures of the automobile rearview and detects free parking spaces in the different environments.

Original languageEnglish
Title of host publicationProceedings of IAPR Conference on Machine Vision Applications, MVA 2007
Pages563-566
Number of pages4
Publication statusPublished - 2007
Event10th IAPR Conference on Machine Vision Applications, MVA 2007 - Tokyo, Japan
Duration: 2007 May 162007 May 18

Publication series

NameProceedings of IAPR Conference on Machine Vision Applications, MVA 2007

Other

Other10th IAPR Conference on Machine Vision Applications, MVA 2007
CountryJapan
CityTokyo
Period07/5/1607/5/18

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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