A Calibration Method for Mobile Omnidirectional Vision Based on Structured Light

Meng, Ling Fu; Li, Yuan; Wang, Qinglin

doi:10.1109/jsen.2020.3012178

Cited by 7 publications

(5 citation statements)

References 21 publications

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“…This study focuses on the orientation between the camera and world coordinates. To obtain rotations and translations for online camera calibration, targets such as registered objects [18,19], road marker lanes [20], and objects with apparent appearances [21] are commonly used. However, these methods cannot cover the case regarding varying extrinsic parameters.…”

Section: Related Workmentioning

confidence: 99%

Multilayer Perceptron-Based Error Compensation for Automatic On-the-Fly Camera Orientation Estimation Using a Single Vanishing Point from Road Lane

Li,

Kim,

Kakani

et al. 2024

Sensors

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This study introduces a multilayer perceptron (MLP) error compensation method for real-time camera orientation estimation, leveraging a single vanishing point and road lane lines within a steady-state framework. The research emphasizes cameras with a roll angle of 0°, predominant in autonomous vehicle contexts. The methodology estimates pitch and yaw angles using a single image and integrates two Kalman filter models with inputs from image points (u, v) and derived angles (pitch, yaw). Performance metrics, including avgE, minE, maxE, ssE, and Stdev, were utilized, testing the system in both simulator and real-vehicle environments. The outcomes indicate that our method notably enhances the accuracy of camera orientation estimations, consistently outpacing competing techniques across varied scenarios. This potency of the method is evident in its adaptability and precision, holding promise for advanced vehicle systems and real-world applications.

show abstract

Section: Related Workmentioning

confidence: 99%

Multilayer Perceptron-Based Error Compensation for Automatic On-the-Fly Camera Orientation Estimation Using a Single Vanishing Point from Road Lane

Li,

Kim,

Kakani

et al. 2024

Sensors

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show abstract

“…The tilt between the sensor and the measured part introduces measurement errors and complicates system calibration. Meng et al conducted a study comparing pipe diameter measurements under different tilt angles, revealing that larger tilt angles led to increased measurement errors [31]. Han X, Xie G developed a dual-ring optical measurement device, proposing the utilization of a dual-ring optical system to determine tilt angles, enabling online correction of the tilt angle's impact on the measurement results [33].…”

Section: Structure Of the Multi-ring Measurement Systemmentioning

confidence: 99%

“…Therefore, the development of novel imaging system calibration methods is required [29]. The multi-ring system effectively reduces the deviations encountered during scanning, eliminating the need for complex light plane calibration [30][31][32]. The calibration coefficients for each ring light are adequate for three-dimensional reconstruction.…”

Section: Introductionmentioning

confidence: 99%

Accuracy improvement of a multi-ring beam structured inner surface measurement: via novel calibration methodology and light source optimization

Li,

Deng,

et al. 2024

Meas. Sci. Technol.

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Parts with a large depth-to-diameter ratio play a critical role in the military, aerospace, and automotive industries. However, accurately measuring their inner surface profile remians challenging owing to the lack of adequate and accurate sensors. We developed a multi-ring structured light system to obtain three-dimensional data of inner contours, such as inner diameters, which are crucial for ensuring component performance and safety. In this study, we proposed three simple yet effective techniques to improve the multi-ring beam structured measurement system. First, we designed a distortion correction method to calibrate the imaging system. Second, a two-step calibration approach was used to calibrate the multi-ring projection. Meanwhile, we benchmarked the effects of different light sources on image speckles. The calibration results demonstrated that the coefficient of determination (R-2) used for line fitting exceeded 0.999. Moreover, the measurement experimental results show that the uncertainty of less than 10 µm and the smallest measurable pipe inner diameter can reach 15 mm, demonstrating that our methods are promising for improving the accuracy of structured light optical sensing systems. This system satisfies the measurement requirements and can be immediately utilized to meet the high demand for inner contour measurements in industrial applications.

show abstract

“…This study focuses on the orientation between the camera and world coordinates. To obtain rotations and translations for online camera calibration, targets such as registered objects [18,19], road marker lanes [20], and objects with apparent appearances [21]are commonly used. However, these methods can not cover the case regarding varying extrinsic parameters.…”

Section: Related Workmentioning

confidence: 99%

Multilayer Perceptron-based Error Compensation for Automatic On-the-Fly Camera Orientation Estimation using a Single Vanishing Point from Road Lane

Li,

Kim,

Kakani

et al. 2023

Preprint

View full text Add to dashboard Cite

This study introduces a multilayer perceptron (MLP) error compensation method for real-time camera orientation estimation, leveraging a single vanishing point and road lane lines within a steady-state framework. The research emphasizes cameras with a roll angle of 0°, predominant in autonomous vehicle contexts. The methodology estimates pitch and yaw angles using a single image and integrates two Kalman filter models with inputs from image points (u, v) and derived angles (pitch, yaw). Performance metrics, including AE, MINE, MAXE, SSE, and STDEV, were utilized, testing the system in both simulator and real-vehicle environments. The outcomes indicate that our method notably enhances the accuracy of camera orientation estimations, consistently outpacing competing techniques across varied scenarios. This method’s potency is evident in its adaptability and precision, holding promise for advanced vehicle systems and real-world applications.

show abstract

A Calibration Method for Mobile Omnidirectional Vision Based on Structured Light

Cited by 7 publications

References 21 publications

Multilayer Perceptron-Based Error Compensation for Automatic On-the-Fly Camera Orientation Estimation Using a Single Vanishing Point from Road Lane

Multilayer Perceptron-Based Error Compensation for Automatic On-the-Fly Camera Orientation Estimation Using a Single Vanishing Point from Road Lane

Accuracy improvement of a multi-ring beam structured inner surface measurement: via novel calibration methodology and light source optimization

Multilayer Perceptron-based Error Compensation for Automatic On-the-Fly Camera Orientation Estimation using a Single Vanishing Point from Road Lane

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