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To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
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During leveling, the Earth's curvature and atmospheric refraction introduce deviations in the line of sight from a true horizontal reference. When the line of sight is leveled, it remains perpendicular to the plumb line only at a single point. Beyond this, it deviates due to the Earth’s curvature, represented by the correction C. For a sight distance D, the deviation can be derived using the relationship:This relationship shows that the deviation increases quadratically with distance.
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Distortion Calculation Method Based on Image Processing for Automobile Lateral Mirrors.

Carlos Paredes-Orta1, Luis M Valentin-Coronado1, Arturo Díaz-Ponce1

  • 1CONACYT-Centro de Investigaciones en Optica, Unidad Aguascalientes, Prol. Constitución 607, Reserva Loma Bonita, Aguascalientes 20200, Mexico.

Micromachines
|March 26, 2022
PubMed
Summary
This summary is machine-generated.

A new image processing method offers more accurate distortion analysis for automotive side-view mirrors than the standard JIS-D-5705. This advanced technique enhances driver safety by ensuring better quality control of critical mirror components.

Keywords:
circularityconvex mirrorsdistortion factormechatronicsmixed techniquesshape analysis

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Area of Science:

  • Automotive Engineering
  • Optical Metrology
  • Image Processing

Background:

  • Automotive lateral-view mirrors are crucial for driver safety, necessitating stringent quality control.
  • Current distortion measurement relies on the JIS-D-5705 standard, which is manual, time-consuming, and prone to errors.
  • The limitations of manual methods highlight the need for more precise and automated quality assessment techniques.

Purpose of the Study:

  • To develop and validate a semi-automatic distortion calculation method for automotive lateral-view mirrors using image processing.
  • To compare the accuracy and robustness of the proposed image processing method against the established JIS-D-5705 standard.
  • To assess the performance of the new method under varying conditions such as scale, resolution, and rotation.

Main Methods:

  • A novel semi-automatic distortion calculation algorithm based on image processing techniques was developed.
  • Distortion analysis was performed on five commercial automotive lateral-view mirrors.
  • Comparative analysis was conducted between the proposed image processing method and the manual JIS-D-5705 standard.

Main Results:

  • The JIS-D-5705 standard indicated all tested mirrors met the <5% distortion requirement.
  • The proposed image processing method identified significant distortion in one mirror missed by the standard method.
  • The new method demonstrated superior robustness against changes in scale, resolution, and image rotation compared to the standard.

Conclusions:

  • The image processing-based distortion calculation method offers higher robustness and precision than the JIS-D-5705 standard.
  • This advanced method can more reliably detect non-compliant mirrors, improving automotive safety.
  • The developed technique provides an effective and accurate alternative for quality control of automotive mirrors.