期刊
SENSORS
卷 23, 期 13, 页码 -出版社
MDPI
DOI: 10.3390/s23136126
关键词
line geometry; galvanometric laser scanners; line variety sensor models; data-driven calibration; hyperboloid fitting; Plucker coordinates
A new paradigm is proposed for modelling and calibrating laser scanners with rotation symmetry, using geometric properties to model the device and recovering it through a line-data-driven procedure. The proposed method is validated in a realistic virtual setting.
We propose a new paradigm for modelling and calibrating laser scanners with rotation symmetry, as is the case for lidars or for galvanometric laser systems with one or two rotating mirrors. Instead of bothering about the intrinsic parameters of a physical model, we use the geometric properties of the device to model it as a specific configuration of lines, which can be recovered by a line-data-driven procedure. Compared to universal data-driven methods that train general line models, our algebraic-geometric approach only requires a few measurements. We elaborate the case of a galvanometric laser scanner with two mirrors, that we model as a grid of hyperboloids represented by a grid of 3x3 lines. This provides a new type of look-up table, containing not more than nine elements, lines rather than points, where we replace the approximating interpolation with exact affine combinations of lines. The proposed method is validated in a realistic virtual setting. As a collateral contribution, we present a robust algorithm for fitting ruled surfaces of revolution on noisy line measurements.
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