Distance Discrepancies in T-LiDAR, Point-Cloud Models Georeferenced via RTK and Static GNSS

9 pages•Published: May 15, 2022

Abstract

This article analyzes two virtual 3D point-cloud models, generated via terrestrial light detection and ranging (T-LiDAR), to compare the relative inaccuracies in distances introduced by two different georeferencing approaches. One is rapid (~30 seconds per ground point) and commonly used in practice, the Real-Time, Kinematic (RTK) Global Navigation Satellite System (GNSS) approach, and the other is a more accurate, but time consuming (4 hours per ground point), Static GNSS scheme. The goal is to determine statistical length discrepancies in the same distances extracted from two differently georeferenced 3D models of the same spatial geometry. Currently, this type of comparison is not readily available to practitioners and could assist in selecting the type of GNSS-based georeferencing procedure. The modeled area encompasses ~30,000 ft2 of a university campus and includes the exterior portion of a building. To determine the discrepancy in measured distances from the two differently georeferenced models, the same one hundred points were identified simultaneously in each of them, and the same 600+ distances were virtually extracted from each model. Then, the discrepancy of each pair of corresponding distances was calculated and its statistics were determined. A full analysis of those discrepancies is presented in this article.

Keyphrases: Discrepancy, distance, georeferencing, GNSS, LiDAR

In: Tom Leathem, Wesley Collins and Anthony J. Perrenoud (editors). ASC2022. 58th Annual Associated Schools of Construction International Conference, vol 3, pages 434--442

Links:	https://easychair.org/publications/paper/hGV9
	https://doi.org/10.29007/gc99