Abstract
The accuracy assessment of mobile mapping system (MMS) outputs is usually reliant on manual labor to inspect the quality of a vast amount of collected geospatial data. This paper presents an automated framework for the accuracy assessment and quality inspection of point cloud data collected by MMSs operating with lightweight laser scanners and consumer-grade microelectromechanical systems (MEMS) sensors. A new, large-scale test facility has been established in a challenging navigation environment (downtown area) to support the analyses conducted in this research work. MMS point cloud data are divided into short time slices for comparison with the higher-accuracy, terrestrial laser scanner (TLS) point cloud of the test facility. MMS data quality is quantified by the results of registering the point cloud of each slice with the TLS datasets. Experiments on multiple land vehicle MMS point cloud datasets using a lightweight laser scanner and three different MEMS devices are presented to demonstrate the effectiveness of the proposed method. The mean accuracy of a consumer grade MEMS (<$100) was found to be 1.13 ± 0.47 m. The mean accuracy of two commercial MEMS (>$100) was in the range of 0.48 ± 0.23 m to 0.85 ± 0.52 m. The method presented here in can be straightforwardly implemented and adopted for the accuracy assessment of other MMSs types such as unmanned aerial vehicles (UAV)s.
Highlights
mobile mapping system (MMS) were developed for land-vehicle platforms but have since evolved into backpack, hand cart, water vehicle and unmanned aerial vehicle (UAV) embodiments in support of a vast range of applications
The work described focuses on a land-vehicle MMS accuracy testing, though the methods are expected to be broadly applicable to other platforms such as UAVs with suitable adaptation
The evaluation of the metric performance of lightweight laser scanning systems utiThe evaluation of the metric performance of lightweight laser scanning systems utilized in MMSs, as well with on other platforms like UAVs, is of great importance given lized in MMSs, as well with on other platforms like UAVs, is of great importance given the growth of lightweight scanner and low-cost microelectromechanical systems (MEMS) sensor usage
Summary
An MMS comprises an integrated GNSS/IMU system for determination of the platform state and one or more imaging sensors. It may include additional navigation sensors such as a wheel revolution counter. The two main types of imaging sensors found on board MMSs are passive cameras and laser scanners. MMSs were developed for land-vehicle platforms but have since evolved into backpack, hand cart, water vehicle and unmanned aerial vehicle (UAV) embodiments in support of a vast range of applications. The work described focuses on a land-vehicle MMS accuracy testing, though the methods are expected to be broadly applicable to other platforms such as UAVs with suitable adaptation
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
