Camera Calibration Using Gray Code

Sels, Seppe; Ribbens, Bart; Vanlanduit, Steve; Penne, Rudi

doi:10.3390/s19020246

Cited by 36 publications

(33 citation statements)

References 25 publications

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“…erefore, it can be said that the detection accuracy and detection speed of the algorithm in this paper are due to the other two detection algorithms, using standard gauge blocks. After camera calibration [38,39], the actual size of pix corresponding to each pixel is 0.007291 mm, and the actual diameter D of the brake master cylinder compensation hole is calculated by the formula D � 2 * pix * n � 2 * 0.007291 * 48.105 � 0.70151. (20) Finally, using random Hough transform, gradient Hough transform, and the algorithm in this paper, the same master cylinder compensation hole size is detected 30 times, and the pixel size of each time is recorded to form the experimental data shown in Table 7.…”

Section: And Vote On Point C Imentioning

confidence: 99%

A New Method for Detecting Compensation Hole Parameters of Automobile Brake Master Cylinder Based on Machine Vision

Zhao

Ding

Cao

et al. 2021

Journal of Advanced Transportation

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The machining accuracy of the compensation hole of the automobile brake master cylinder directly determines the safety of the automobile and the reliability of parking. How to detect the parameters of the compensation hole with high precision becomes a crucial issue. In this paper, by analyzing the principle of Hough transform detection technology and several optimization algorithms, a new method combining Zernike moment and improved gradient Hough transform is proposed to detect the circular hole parameters. The simulation experiment shows that the proposed algorithm satisfies 0.1 pixels in the coordinate detection of the center position, and the radius detection accuracy is 0.05 pixels, with fast detection speed and good robustness. Compared with the random Hough transform algorithm and the gradient Hough transform algorithm, the algorithm proposed in this paper has higher detection accuracy, faster detection speed, and better robustness, which meets the online detection accuracy requirements of the brake master cylinder compensation hole.

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Section: And Vote On Point C Imentioning

confidence: 99%

A New Method for Detecting Compensation Hole Parameters of Automobile Brake Master Cylinder Based on Machine Vision

Zhao

Ding

Cao

et al. 2021

Journal of Advanced Transportation

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“…The intrinsic parameters of the cameras must be known. Intrinsic camera calibration is a well-known problem, and many good solutions already exist [ 3 , 16 ].…”

Section: Algorithmmentioning

confidence: 99%

Extrinsic Camera Calibration with Line-Laser Projection

Crombrugge

Penne

Vanlanduit

2021

Sensors

Self Cite

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Knowledge of precise camera poses is vital for multi-camera setups. Camera intrinsics can be obtained for each camera separately in lab conditions. For fixed multi-camera setups, the extrinsic calibration can only be done in situ. Usually, some markers are used, like checkerboards, requiring some level of overlap between cameras. In this work, we propose a method for cases with little or no overlap. Laser lines are projected on a plane (e.g., floor or wall) using a laser line projector. The pose of the plane and cameras is then optimized using bundle adjustment to match the lines seen by the cameras. To find the extrinsic calibration, only a partial overlap between the laser lines and the field of view of the cameras is needed. Real-world experiments were conducted both with and without overlapping fields of view, resulting in rotation errors below 0.5°. We show that the accuracy is comparable to other state-of-the-art methods while offering a more practical procedure. The method can also be used in large-scale applications and can be fully automated.

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“…Using feature selection, the contour of the compensation hole is obtained, and then the center position and diameter of the compensation hole are calculated, and the position of the grating ruler at this time is recorded to calculate the position information of the compensation hole. Through pixel calibration, 23,24 the true size represented by each pixel is obtained as 0.0019 mm, and the compensation hole size parameters are obtained multiple times and recorded. Then the mean value and variance of the compensation hole are calculated, as shown in the specific data in Table 2.…”

Section: Experiments and Verificationmentioning

confidence: 99%

Research on automatic detection technology for the compensation hole shape and position parameters of a brake master cylinder

Zhao

Ding

Cao

et al. 2021

Advances in Mechanical Engineering

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Machine vision is a key technology to achieve high detection accuracy for the compensation hole parameters of automobile brake master cylinders, which influence automobile safety and parking reliability. As an important part of the automobile brake master cylinder, the compensation hole can play an important role in regulating the brake fluid in the reservoir tank and brake chamber, and its dimensional accuracy and processing quality are strictly controlled. Therefore, determining how to accurately obtain images of the compensation hole is a primary problem in the detection of compensation hole parameters. In this paper, fully automatic equipment for compensation hole detection in automobile brake master cylinders is designed using an image processing algorithm to realize the automatic positioning of the compensation hole and automatic detection of size parameters. Experiments show that the automatic positioning and detection time for the compensation hole is less than 8 s, the detection accuracy of the compensation hole size is higher than ±0.021 mm, and the position detection accuracy for the compensation hole is higher than ±0.045 mm. The compensation hole detection technology proposed in this paper provides high real-time performance and good robustness while meeting accuracy requirements and detection speed.

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Camera Calibration Using Gray Code

Cited by 36 publications

References 25 publications

A New Method for Detecting Compensation Hole Parameters of Automobile Brake Master Cylinder Based on Machine Vision

A New Method for Detecting Compensation Hole Parameters of Automobile Brake Master Cylinder Based on Machine Vision

Extrinsic Camera Calibration with Line-Laser Projection

Research on automatic detection technology for the compensation hole shape and position parameters of a brake master cylinder

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