Abstract

Abstract. Indoor surveying is currently based on laser scanning technology, which is time-consuming and costly. A construction model depends on complex calculations which need to manage a large number of measured points. This is suitable for the detailed geometrical models utilized for representation, yet excessively overstated when a simple model including walls, floors, roofs, entryways, and windows is required, such a basic model being a key for efficient network analysis such as shortest path finding. To reduce the time and cost of the indoor building data acquisition process, the Trimble LaserAce 1000 range finder is used. A comparison of neural network and a combined method of interval analysis and homotopy continuation in 3D interior building modelling for calibration of inaccurate surveying equipment is presented. We will present the interval valued homotopy model of the measurement of horizontal angles by the magnetometer component of the rangefinder. This model blends interval analysis and homotopy continuation. The results prove that homotopies give the best results both in terms of RMSE and the L∞ metric.

Highlights

  • According to Donath and Thurow (2007), considering various fields of applications for building modelling and various demands, geometry representation of a building is the most crucial aspect of building modelling

  • The relationships between adjacent spaces need to be defined in a topological model

  • Rangefinder data was calibrated by neural network, which shows a maximum residual error of 8.5 degree and a minimum residual error of 0.78 degree in room 10 using neural network

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Summary

INTRODUCTION

According to Donath and Thurow (2007), considering various fields of applications for building modelling and various demands, geometry representation of a building is the most crucial aspect of building modelling. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-4/W7, 2017 12th 3D Geoinfo Conference 2017, 26–27 October 2017, Melbourne, Australia indoor surveying is laser scanning This method allows taking accurate and detailed measurements (Dongzhen et al, 2009; Yusuf, 2007). The use of a laser rangefinder combined with GPS, total station and GIS for forest resources data collection and data mapping was investigated by Wing and Kellogg (2004).

DATA COLLECTION
INTERVAL ANALYSIS AND HOMOTOPY CONTINUATION
NEURAL NETWORK
Findings
CONCLUSIONS
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