An Automatic Calibration Method for AVM Cameras

  • Lee, Yun Hee
  • Kim, Whoi-Yul
Citations

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초록

We introduce a method for the efficient calibration of around-view-monitoring (AVM) cameras. Particularly, we introduce two situations that require calibration because of the characteristics of AVM cameras: a situation wherein cameras are shipped from the manufacturing line and another situation wherein some cameras are distorted during operation and need recalibration. In this study, the calibration method for shipped cameras is defined as the factory mode and that for recalibration is defined as the service mode. In the factory mode, two circular patterns placed at a regular distance are used to ensure the maximum accuracy while requiring minimum calibration. In the service mode, as a recalibration method, we developed a robust method that considers various environments using parallel parking lines that can be easily installed in general service centers. In the factory mode, we confirmed that the AVM-camera-calibration error was within 5.66 cm when the two circular patterns were located at a certain distance within a certain range. However, in the service mode, we achieved camera movement angle error equal to or less than 0.1 degrees using the parking-line-detection result.

키워드

Around-view-monitoring (AVM) systemfish-eye lens cameraautomatic camera calibrationparking-line detectionVEHICLE
제목
An Automatic Calibration Method for AVM Cameras
저자
Lee, Yun HeeKim, Whoi-Yul
DOI
10.1109/ACCESS.2020.3032978
발행일
2020-10
유형
Article
저널명
IEEE Access
8
페이지
192073 ~ 192086

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