scholarly journals A Robotic Indoor 3D Mapping System Using a 2D Laser Range Finder Mounted on a Rotating Four-Bar Linkage of a Mobile Platform

10.5772/54655 ◽  
2013 ◽  
Vol 10 (1) ◽  
pp. 45 ◽  
Author(s):  
Yu-Shin Chou ◽  
Jing-Sin Liu
Keyword(s):  
Mobile Platform ◽  
Laser Range Finder ◽  
3D Mapping ◽  
Range Finder ◽  
Laser Range ◽  
Mapping System ◽  
3D Mapping System ◽  
Four Bar Linkage

scholarly journals DEVELOPMENT OF A NEW LOW-COST INDOOR MAPPING SYSTEM – SYSTEM DESIGN, SYSTEM CALIBRATION AND FIRST RESULTS

2016 ◽  
Vol XLI-B5 ◽  
pp. 55-62
Author(s):  
T. P. Kersten ◽  
D. Stallmann ◽  
F. Tschirschwitz
Keyword(s):  
Laser Scanning ◽  
Low Cost ◽  
Design System ◽  
Raspberry Pi ◽  
Test Field ◽  
Laser Range Finder ◽  
Range Finder ◽  
System Calibration ◽  
Laser Range ◽  
Mapping System

For mapping of building interiors various 2D and 3D indoor surveying systems are available today. These systems essentially differ from each other by price and accuracy as well as by the effort required for fieldwork and post-processing. The Laboratory for Photogrammetry & Laser Scanning of HafenCity University (HCU) Hamburg has developed, as part of an industrial project, a lowcost indoor mapping system, which enables systematic inventory mapping of interior facilities with low staffing requirements and reduced, measurable expenditure of time and effort. The modelling and evaluation of the recorded data take place later in the office. The indoor mapping system of HCU Hamburg consists of the following components: laser range finder, panorama head (pan-tilt-unit), single-board computer (Raspberry Pi) with digital camera and battery power supply. The camera is pre-calibrated in a photogrammetric test field under laboratory conditions. However, remaining systematic image errors are corrected simultaneously within the generation of the panorama image. Due to cost reasons the camera and laser range finder are not coaxially arranged on the panorama head. Therefore, eccentricity and alignment of the laser range finder against the camera must be determined in a system calibration. For the verification of the system accuracy and the system calibration, the laser points were determined from measurements with total stations. The differences to the reference were 4-5mm for individual coordinates.

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