Abstract

The performance of various mobile laser scanning systems was tested on an established urban test field. The test was connected to the European Spatial Data Research (EuroSDR) project “Mobile Mapping—Road Environment Mapping Using Mobile Laser Scanning”. Several commercial and research systems collected laser point cloud data on the same test field. The system comparisons focused on planimetric and elevation errors using a filtered digital elevation model, poles, and building corners as the reference objects. The results revealed the high quality of the point clouds generated by all of the tested systems under good GNSS conditions. With all professional systems properly calibrated, the elevation accuracy was better than 3.5 cm up to a range of 35 m. The best system achieved a planimetric accuracy of 2.5 cm over a range of 45 m. The planimetric errors increased as a function of range, but moderately so if the system was properly calibrated. The main focus on mobile laser scanning development in the near future should be on the improvement of the trajectory solution, especially under non-ideal conditions, using both improvements in hardware and software. Test fields are relatively easy to implement in built environments and they are feasible for verifying and comparing the performance of different systems and also for improving system calibration to achieve optimum quality.

Highlights

  • Mobile mapping is currently an emerging technology, which is used to enhance the attractiveness of mobile phone ecosystems by collecting large data sets covering the biggest cities

  • The tested mobile laser scanning (MLS) systems are capable of acquiring accurate point cloud data under good Global Navigation Satellite System (GNSS) coverage conditions

  • Environment Mapping Using Mobile Laser Scanning‖ that most of the leading mobile mapping manufactures, among them RIEGL, Optech and Streetmapper, together with some research systems participated in the benchmarking of the performance of mobile laser scanning systems

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Summary

Introduction

Mobile mapping is currently an emerging technology, which is used to enhance the attractiveness of mobile phone ecosystems by collecting large data sets covering the biggest cities. Automatic techniques to process the data into 3D models is a topic of increasing importance since accurate and intelligent up-to-date 3D roadside information will be needed in the future, especially for vehicle and pedestrian navigation and location-based services. Most mobile mapping systems are based on images taken from mobile systems, but the use of mobile laser scanning (MLS) together with images is increasing. MLS is a multi-sensor system that integrates various navigation, laser scanning, and other data acquisition sensors on a rigid, moving platform (typically a van or a car) for acquiring road-side data. The navigation sensors typically include Global Navigation Satellite System (GNSS) receivers and an Inertial Measurement Unit (IMU), while the data acquisition sensors typically include terrestrial laser scanners and imaging systems

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