Structure Analysis Based Parking Slot Marking Recognition for Semi-automatic Parking System (original) (raw)

Abstract

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.

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Authors and Affiliations

  1. Advanced Electronic System Team, MANDO Corporation Central R&D Center, 413-5, Gomae-Dong, Giheung-Gu, Yongin-Si, Kyonggi-Do, 446-901, Republic of Korea
    Ho Gi Jung, Dong Suk Kim & Pal Joo Yoon
  2. School of Electrical and Electronic Engineering, Yonsei University, 134, Sinchon-Dong, Seodaemun-Gu, Seoul, 120-749, Republic of Korea
    Ho Gi Jung & Jaihie Kim

Authors

  1. Ho Gi Jung
  2. Dong Suk Kim
  3. Pal Joo Yoon
  4. Jaihie Kim

Editor information

Editors and Affiliations

  1. Hong Kong University of Science and Technology,
    Dit-Yan Yeung
  2. Department of Computer Science, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China
    James T. Kwok
  3. Instituto de Telecomunicações, Instituto Superior Técnico, Lisbon, Portugal
    Ana Fred
  4. Department of Electrical and Electronic Engineering, University of Cagliari, Piazza d’Armi, 09123, Cagliari, Italy
    Fabio Roli
  5. Faculty of Electrical Engineering, Mathematics and Computer Science, Information and Communication Theory Group, Delft University of Technology, Delft, The Netherlands
    Dick de Ridder

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© 2006 Springer-Verlag Berlin Heidelberg

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Jung, H.G., Kim, D.S., Yoon, P.J., Kim, J. (2006). Structure Analysis Based Parking Slot Marking Recognition for Semi-automatic Parking System. In: Yeung, DY., Kwok, J.T., Fred, A., Roli, F., de Ridder, D. (eds) Structural, Syntactic, and Statistical Pattern Recognition. SSPR /SPR 2006. Lecture Notes in Computer Science, vol 4109. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11815921\_42

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