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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)

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.

Keywords

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.

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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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