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- W2003703294 abstract "Light detection and ranging (lidar) system calibration is essential to ensure the positional accuracy of the derived point cloud. Current lidar self-calibration techniques require full access to the system parameters and raw measurements (e.g., platform position and orientation, laser ranges, and scan mirror angles). Unfortunately, the raw measurements are not always available to the end-users. The absence of such information is limiting the widespread adoption of lidar calibration activities by the end-user. This paper proposes two alternative procedures for lidar system calibration, namely simplified and quasi-rigorous methods, which do not require the system raw measurements. The simplified method uses the lidar point cloud coordinates in overlapping parallel strips over terrain with moderate elevation variation to estimate biases in the system parameters. In this approach, the conventional lidar georeferencing equation is simplified based on a few reasonable assumptions. The quasi-rigorous method, on the other hand, is proposed to handle heading variations and varying terrain elevations using the time-tagged point coordinates and trajectory position data. Experimental results from simulated and real datasets showed that the proposed methods successfully estimated biases in system parameters, which produced more precise lidar points." @default.
- W2003703294 created "2016-06-24" @default.
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- W2003703294 date "2010-01-01" @default.
- W2003703294 modified "2023-10-18" @default.
- W2003703294 title "Estimation of biases in lidar system calibration parameters using overlapping strips" @default.
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- W2003703294 doi "https://doi.org/10.5589/m10-054" @default.
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