Analysis of External Factors on the Accuracy of Object Detection by LidarSensor

The research examines the role of external factors—ambient illumination, surface reflectivity, and laser incidence angle—on the accuracy as well as stability of distance measurements with the compact LiDAR sensor TF-Luna. A MATLAB model for simulation was created to assess how each of these parameters influence the accuracy of the output of the sensor. The model includes Lambert’s cosine law, variable reflectivity values between 0.1 and 0.9, and up to 70,000 lux illumination levels. The simulation outputs show that high values of brightness, low reflective surfaces, and high angles of incidence dramatically reduce the accuracy of measurement, raising error bounds as well as the likelihood of failure. The evidence supports critical reliance of TF-Luna’s operation on environmental factors. Recommendations have been proposed for alleviating such effects when the sensor is employed for mobile robotics and remote sensing purposes.

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Publication Details

Journal
Journal of Emerging Technologies and Computing
Published
2025-05-28
DOI
https://doi.org/10.47344/myj0wh45
Primary Topic
Remote Sensing and LiDAR Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Analysis of External Factors on the Accuracy of Object Detection by LidarSensor

А. А. Абдрахманов, Lyazzat Ilipbayeva
Journal of Emerging Technologies and Computing
Remote Sensing and LiDAR Applications
article

Analysis of External Factors on the Accuracy of Object Detection by LidarSensor

А. А. Абдрахманов, Lyazzat Ilipbayeva
article en

Abstract

The research examines the role of external factors—ambient illumination, surface reflectivity, and laser incidence angle—on the accuracy as well as stability of distance measurements with the compact LiDAR sensor TF-Luna. A MATLAB model for simulation was created to assess how each of these parameters influence the accuracy of the output of the sensor. The model includes Lambert’s cosine law, variable reflectivity values between 0.1 and 0.9, and up to 70,000 lux illumination levels. The simulation outputs show that high values of brightness, low reflective surfaces, and high angles of incidence dramatically reduce the accuracy of measurement, raising error bounds as well as the likelihood of failure. The evidence supports critical reliance of TF-Luna’s operation on environmental factors. Recommendations have been proposed for alleviating such effects when the sensor is employed for mobile robotics and remote sensing purposes.

Journal of Emerging Technologies and ComputingVol. 1(1)
Kazakh Scientific Research Veterinary Institute (KZ)
Openalex Percentile: Top 89%
Remote Sensing and LiDAR Applications
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