Abstract

Abstract. Mobile mapping systems are increasingly being used for the acquisition of 3D information of the environment. Although these systems are very efficient in data capturing compared to more traditional methods, the high cost of high-end accurate mobile mapping systems is a major drawback. In contrast, the much cheaper low-end mobile mapping systems are more frequently used for less accurate projects where visualization is more important. In general, the achievable accuracy level is the driving factor that differentiates low-end from high-end systems. To determine this value, the sensor quality, calibration and GNSS reception quality should be reliably evaluated.In this paper, we present a theoretical accuracy model of a mobile mapping system that takes into account variable GNSS accuracy. The predicted accuracy level of low-end and high-end mobile mapping systems is evaluated in a comprehensive accuracy analysis. The absolute accuracy of the system is determined in three datasets in which GNSS reception quality varies between optimal, good and poor. Additionally, the relative accuracy of both systems is checked by comparison of control distances. The presented approach allows for a more general and robust accuracy prediction of mobile mapping systems in different circumstances.

Highlights

  • In the last decade, Mobile Mapping Systems (MMS) have proven to be among the most efficient methods of capturing large scale georeferenced 3D data of large areas

  • We present a more complete accuracy analysis of mobile mapping systems compared to other studies

  • While in this equation the Global Navigation Satellite System (GNSS) and Inertial Measuring Unit (IMU) are shown as two independently operating sensors, their data is combined in a kalman filter in order to compute the SBET of the mobile mapping systems

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Summary

INTRODUCTION

Mobile Mapping Systems (MMS) have proven to be among the most efficient methods of capturing large scale georeferenced 3D data of large areas. In order to validate the theoretical model, an accuracy study of the system is conducted in real-world circumstances such as performed in (Hofmann, Brenner, 2016, Schaer et al, 2007, Toschi et al, 2015, Puente et al, 2013b, Kaartinen et al, 2012, Hauser et al, 2016, Barber et al, 2008) These theoretical models use fixed general accuracies for the positioning sensors instead of modelling a variable accuracy for GNSS.

RELATED WORK
METHODOLOGY
Low-end MMS
TEST DATASETS
Theoretical accuracy
Rural dataset
Residential dataset
Urban dataset
EXPERIMENTS
Absolute accuracy
Relative accuracy
CONCLUSION
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