Extrinsic calibration and usage of a single-point laser rangefinder and single camera

Liu, Zewei; Lu, Dongming; Qian, Wei; Zhang, Jun; Jinqing, Yang

doi:10.1117/12.2320030

Cited by 1 publication

(4 citation statements)

References 4 publications

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“…3. The data obtained in Method C also meet the data requirements of Liu [6]. We repeated the Method as a control group.…”

Section: Experiments and Analysismentioning

confidence: 90%

“…In view of the excellent performance of MLRF, the use of MLRF and camera information fusion has gradually become the focus of research in various fields. However, there are relatively few researches on MLRF, and the existing researches are only limited to the information fusion between MLRF and visible light array camera in the short-range ranging scene [6,7]. However, few people are involved in the information fusion of long range MLRF and camera in remote working scene.…”

Section: Introductionmentioning

confidence: 99%

“…However, most of MLRF use the near infrared band of 905 nm, resulting in the laser spot is not visible to the visible light array camera. The method proposed by Liu [6] used infrared camera and visible camera to establish homography matrix according to the calibration plate to determine the spot position; The method proposed by Wang He [7] uses the constraints of multiple plane equations to determine the spot position. However, these two methods introduce model errors of other instruments in the experimental process, resulting in low accuracy of calibration results.…”

Section: Introductionmentioning

confidence: 99%

“…The error source of these three methods mainly comes from the camera system itself, which mainly includes the error that the camera coordinate system is not orthogonal to the independent coordinate system and the quantization error of the camera CCD image element. Compared with our Method, Liu's Method [6] has a poor performance in terms of re-projection error, because the infrared camera infrared model is also introduced, which will bring more instability to the experimental results.…”

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confidence: 96%

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Calibration method of relative pose between monopulse rangefinder and visible light array camera

Ren

Jiao

et al. 2022

Thirteenth International Conference on Information Optics and Photonics (CIOP 2022)

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The fusion of monopulse laser rangefinder and optical camera information requires the acquisition of their relative pose and attitude parameters. This paper focuses on the relative pose calibration of monopulse laser rangefinder (MLRF) and visible light array camera. Two calibration methods are proposed. The image plane of the infrared camera and the physical plane whose pose of the visible array camera is known are locally registered to solve the difficulty of the calibration of the laser spot relative to the invisible of the visible array camera. Then evaluate the stability of the pose solution of exceed the calibration distance. The experimental results show that the reprojection error of the relative pose solution obtained by finite number of measurements is less than 1 pixel. The position error within the calibration distance is less than 4 mm; Beyond the calibration distance, the position error increases by less than 3 mm for per 10 m.

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“…3. The data obtained in Method C also meet the data requirements of Liu [6]. We repeated the Method as a control group.…”

Section: Experiments and Analysismentioning

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 96%

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