Open AccessMethod and Algorithm for Estimating the Maximum Total Error of an Automotive LiDAR
Author(s) -
Maria Romanova,
Mark Mamchenko
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2096/1/012179
Subject(s) - gost (hash function) , lidar , algorithm , basis (linear algebra) , computer science , observational error , systematic error , construct (python library) , automotive industry , statistics , mathematics , remote sensing , engineering , geology , geometry , programming language , aerospace engineering
The article proposes a method and an appropriate algorithm for estimating the error of the measurements of the LiDAR as a technical measurement system to “include” this evaluation in the given accuracy. A generic model for the LiDAR’s measurements is described, a mathematical model of the measurements with the total values of random and systematic errors is given. Based on this method the algorithm for estimating the maximum total error (not exceeding the accuracy of the measurement) is formed. The algorithm complies both with the mathematical description presented in the article, and the methodology described in Russian standard GOST R 8.736-2011. On the basis of the calculated estimate of the weighted average error, it is possible to construct a technical device, that provides a three-fold reserve in terms of measurement accuracy.