Abstract

Abstract. Mobile laser scanning systems (MLS) offer a great potential for acquiring detailed point cloud data of urban and suburban surroundings with minimum effort. In this paper a new solution for MLSs is presented, requiring solely a combination of a profile laser scanning device and systems that are included in today's serialized end consumer vehicles. While today's mobile laser scan systems require different and expensive additional hardware that needs to be mounted onto the vehicle, the devices included within vehicle electronics offer good alternatives without additional costs.The actual scan consists of a continuous profile scan together with information gathered from on-board sensor modules. In a post- processing step, the sensor data is used to reconstruct the car's trajectory for the period of the scan and, based on this information, the track of the scan device for every measured laser pixel. Synchronization of pixel data and vehicle movement is realized via a timestamp signal which is transmitted to the car's field bus system and the scan device. To generate the final point cloud scenario, the trajectory is interpolated for every single scan point and used to convert its local position within the profile into the global coordinate system (Fig.1, Left).

Highlights

  • In the fields of road-surveying, architecture and 3D city modelling, mobile laser scanning systems constantly gain in value for the fast acquisition of precise point cloud data

  • Available Mobile laser scanning systems (MLS) usually consist of one or more scandevices in combination with an inertial measurement unit (IMU), inertial navigation system (INS) and differential GPS that are mounted on the car (e.g. Rieger 2010)

  • Two extensions of the system are in development

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Summary

INTRODUCTION

In the fields of road-surveying, architecture and 3D city modelling, mobile laser scanning systems constantly gain in value for the fast acquisition of precise point cloud data. The actual movement of the car is estimated from the IMU, INS and dGPS-Data, containing information about the car’s position and orientation as well as its linear and angular velocity. By combining this data with the continuous profile scans, a point cloud representation of the surrounding area can be generated. These MLSs are prohibitively expensive due to the additional sensor devices and hardware components that are used for estimating the.

RELATED WORK
REQUIREMENTS
GENERATION OF THE SCAN TRAJECTORY
The car interior sensor system
Calibration
Computing the trajectory
SYNCHRONIZATION WITH SCAN DATA
COMPUTATION OF THE 3D POINT CLOUD
RESULTS
CONCLUSION AND FUTURE PROSPECTS
Full Text
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