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

被引:1
作者
Kersten, T. P. [1 ]
Stallmann, D. [1 ]
Tschirschwitz, F. [1 ]
机构
[1] HafenCity Univ Hamburg, Photogrammetry & Laser Scanning Lab, Uberseeallee 16, D-20457 Hamburg, Germany
来源
XXIII ISPRS CONGRESS, COMMISSION V | 2016年 / 41卷 / B5期
关键词
3D; camera; calibration; modelling; sparse point cloud; panorama; reconstruction;
D O I
10.5194/isprsarchives-XLI-B5-55-2016
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
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 low-cost 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.
引用
收藏
页码:55 / 62
页数:8
相关论文
共 14 条
[1]  
[Anonymous], 2014, RGBD MAPPING USING D
[2]  
Clauss S., 2012, PHOTOGRAMMETRIE LASE, P255
[3]  
Clauss U, 2011, PHOTOGRAMMETRIE LASE, P205
[4]  
Fangi G., 2007, 21 INT CIPA S 01 06
[5]  
Hering H, 2012, PHOTOGRAMMETRIE LASE, P286
[6]  
Kalusche W., 2011, INNOVATION BAUBETRIE
[7]  
Kersten T., 2005, INT ARCH PHOTOGRAMME, VXXXVI
[8]  
Kersten T. P, 2012, EURO MEDITERRANEAN C, P201
[9]  
Kersten Th., 2004, The International Archives of Photogrammetry, Remote Sensing, and Spatial Information Sciences, VXXXV, P126
[10]  
Krispel U., 2015, 6 INT WORKSH 3D ARCH, P131