Structure analysis based parking slot marking recognition for semi-automatic parking system

  • Authors:
  • Ho Gi Jung;Dong Suk Kim;Pal Joo Yoon;Jaihie Kim

  • Affiliations:
  • Advanced Electronic System Team, MANDO Corporation Central R&D Center, Kyonggi-Do, Republic of Korea;Advanced Electronic System Team, MANDO Corporation Central R&D Center, Kyonggi-Do, Republic of Korea;Advanced Electronic System Team, MANDO Corporation Central R&D Center, Kyonggi-Do, Republic of Korea;School of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea

  • Venue:
  • SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

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.