Frontiers of Information Technology & Electronic Engineering
>> 2023,
Volume 24,
Issue 1
doi:
10.1631/FITEE.2200079
Camera calibration method for an infrared horizon sensor with a large field of view
Affiliation(s): Micro-Satellite Research Center, Zhejiang University, Hangzhou 310027, China; Zhejiang Key Laboratory of Micro-nano Satellite Research, Hangzhou 310027, China; Beijing Institute of Tracking and Telecommunications Technology, Beijing 100094, China; less
Received: 2022-03-04
Accepted: 2023-01-21
Available online: 2023-01-21
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Abstract
Inadequate geometric accuracy of cameras is the main constraint to improving the precision of s with a large field of view (FOV). An enormous FOV with a blind area in the center greatly limits the accuracy and feasibility of traditional geometric calibration methods. A novel method for s is presented and validated in this paper. Three infrared targets are used as control points. The camera is mounted on a rotary table. As the table rotates, these control points will be evenly distributed in the entire FOV. Compared with traditional methods that combine a collimator and a rotary table which cannot effectively cover a large FOV and require harsh experimental equipment, this method is easier to implement at a low cost. A corresponding three-step parameter estimation algorithm is proposed to avoid precisely measuring the positions of the camera and the control points. Experiments are implemented with 10 s to verify the effectiveness of the calibration method. The results show that the proposed method is highly stable, and that the calibration accuracy is at least 30% higher than those of existing methods.
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