ArticleSensors (Basel, Switzerland)2018
Inclinometer Assembly Error Calibration and Horizontal Image Correction in Photoelectric Measurement Systems.
Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- High Accurate Mathematical Tools to Estimate the Gravity Direction Using Two Non-Orthogonal Inclinometers.Sensors (Basel, Switzerland) · 2021Article
- An Integrated Positioning and Attitude Determination System for Immersed Tunnel Elements: A Simulation Study.Sensors (Basel, Switzerland) · 2020Article
- High-Accuracy Correction of a Microlens Array for Plenoptic Imaging Sensors.Sensors (Basel, Switzerland) · 2019Article
- Rectification of Images Distorted by Microlens Array Errors in Plenoptic Cameras.Sensors (Basel, Switzerland) · 2018Article
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8 authors.
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Abstract
Inclinometer assembly error is one of the key factors affecting the measurement accuracy of photoelectric measurement systems. In order to solve the problem of the lack of complete attitude information in the measurement system, this paper proposes a new inclinometer assembly error calibration and horizontal image correction method utilizing plumb lines in the scenario. Based on the principle that the plumb line in the scenario should be a vertical line on the image plane when the camera is placed horizontally in the photoelectric system, the direction cosine matrix between the geodetic coordinate system and the inclinometer coordinate system is calculated firstly by three-dimensional coordinate transformation. Then, the homography matrix required for horizontal image correction is obtained, along with the constraint equation satisfying the inclinometer-camera system requirements. Finally, the assembly error of the inclinometer is calibrated by the optimization function. Experimental results show that the inclinometer assembly error can be calibrated only by using the inclination angle information in conjunction with plumb lines in the scenario. Perturbation simulation and practical experiments using MATLAB indicate the feasibility of the proposed method. The inclined image can be horizontally corrected by the homography matrix obtained during the calculation of the inclinometer assembly error, as well.
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