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Radiometric Calibration of an Inexpensive LED-Based Lidar Sensor

United States Military Academy, West Point, NY 10996, USA
Department of Civil and Environmental Engineering, University of Houston, Houston, TX 77204, USA
Terabee, 01630 Saint-Genis-Pouilly, France
Author to whom correspondence should be addressed.
Sensors 2020, 20(18), 5215;
Received: 29 June 2020 / Revised: 9 September 2020 / Accepted: 10 September 2020 / Published: 13 September 2020
(This article belongs to the Section Remote Sensors)
Radiometric calibration of laser-based, topographic lidar sensors that measure range via time of flight or phase difference is well established. However, inexpensive, short-range lidar sensors that utilize non-traditional ranging techniques, such as indirect time of flight, may report radiometric quantities that are not appropriate for existing calibration methods. One such lidar sensor is the TeraRanger Evo 60 m by Terabee, whose reported amplitude measurements do not vary smoothly with the amount of return signal power. We investigate the performance of a new radiometric calibration model, one based on a neural network, applied to the Evo 60 m. The proposed model is found to perform similarly to those applied to traditional lidar sensors, with root mean square errors in predicted target reflectance of no more than ±6% for non-specular surfaces. The radiometric calibration model provides a generic approach that may be applicable to other low-cost lidar sensors that report return signal amplitudes that are not smoothly proportional to target range and reflectance. View Full-Text
Keywords: lidar; radiometric calibration; neural networks lidar; radiometric calibration; neural networks
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MDPI and ACS Style

Laughlin, J.; Hartzell, P.; Glennie, C.; Kovermann, J.W. Radiometric Calibration of an Inexpensive LED-Based Lidar Sensor. Sensors 2020, 20, 5215.

AMA Style

Laughlin J, Hartzell P, Glennie C, Kovermann JW. Radiometric Calibration of an Inexpensive LED-Based Lidar Sensor. Sensors. 2020; 20(18):5215.

Chicago/Turabian Style

Laughlin, Jordan, Preston Hartzell, Craig Glennie, and Jan W. Kovermann 2020. "Radiometric Calibration of an Inexpensive LED-Based Lidar Sensor" Sensors 20, no. 18: 5215.

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