Structure Analysis Based Parking Slot Marking Recognition for Semi-automatic Parking System

  • Ho Gi Jung
  • Dong Suk Kim
  • Pal Joo Yoon
  • Jaihie Kim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4109)


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.


Stereo Vision Local Window Fisheye Lens Electric Power Steering Undistorted Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Bishop, R.: Intelligent Vehicle Technology and Trends. Artech House Pub. (2005)Google Scholar
  2. 2.
    Frank, R.: Sensing in the Ultimately Safe Vehicle, SAE Paper No.: 2004-21-0055, Society of Automotive Engineers (2004)Google Scholar
  3. 3.
    Schanz, A., et al.: Autonomous Parking in Subterranean Garages – A Look at the Position Estimation. In: IEEE Intelligent Vehicle Symposium, pp. 253–258 (2003)Google Scholar
  4. 4.
    Wada, M., et al.: Development of Advanced Parking Assistance System. IEEE Trans. Industrial Electronics 50(1), 4–17 (2003)CrossRefGoogle Scholar
  5. 5.
    Furutani, M.: Obstacle Detection Systems for Vehicle Safety, SAE Paper No.: 2004-21-0057, Society of Automotive Engineers (2004)Google Scholar
  6. 6.
    Kaempchen, N., et al.: Stereo Vision Based Estimation of Parking Lots Using 3D Vehicle Models. In: IEEE Intelligent Vehicle Symposium, vol. 2, pp. 459–464 (2002)Google Scholar
  7. 7.
    Xu, J., et al.: Vision-Guided Automatic Parking for Smart Car. In: IEEE Intelligent Vehicle Symposium, pp. 725–730 (2000)Google Scholar
  8. 8.
    Jung, H.G., et al.: Stereo Vision Based Localization of Free Parking Site. In: Gagalowicz, A., Philips, W. (eds.) CAIP 2005. LNCS, vol. 3691, pp. 231–239. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  9. 9.
    Vestri, C., et al.: Evaluation of a Vision-Based Parking Assistance System. In: IEEE Conf. Intelligent Transportation Systems, pp. 56–60 (2005)Google Scholar
  10. 10.
    Salvi, J., et al.: A Comparative Review of Camera Calibrating Methods with Accuracy Evaluation. Pattern Recognition 35, 1617–1635 (2002)zbMATHCrossRefGoogle Scholar
  11. 11.
    Bouguet, J.Y.: Camera Calibration Toolbox for Matlab,
  12. 12.
    Key, S.M.: Fundamentals of Statistical Signal Processing. Estimation Theory, vol. I, pp. 193–195. Prentice Hall, Englewood Cliffs (1993)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Ho Gi Jung
    • 1
    • 2
  • Dong Suk Kim
    • 1
  • Pal Joo Yoon
    • 1
  • Jaihie Kim
    • 2
  1. 1.Advanced Electronic System TeamMANDO Corporation Central R&D CenterKyonggi-DoRepublic of Korea
  2. 2.School of Electrical and Electronic EngineeringYonsei UniversitySeoulRepublic of Korea

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