Image-based mobile mapping systems enable the efficient acquisition of georeferenced image sequences, which can later be exploited in cloud-based 3D geoinformation services. In order to provide a 360° coverage with accurate 3D measuring capabilities, we present a novel 360° stereo panoramic camera configuration. By using two 360° panorama cameras tilted forward and backward in combination with conventional forward and backward looking stereo camera systems, we achieve a full 360° multi-stereo coverage. We furthermore developed a fully operational new mobile mapping system based on our proposed approach, which fulfils our high accuracy requirements. We successfully implemented a rigorous sensor and system calibration procedure, which allows calibrating all stereo systems with a superior accuracy compared to that of previous work. Our study delivered absolute 3D point accuracies in the range of 4 to 6 cm and relative accuracies of 3D distances in the range of 1 to 3 cm. These results were achieved in a challenging urban area. Furthermore, we automatically reconstructed a 3D city model of our study area by employing all captured and georeferenced mobile mapping imagery. The result is a very high detailed and almost complete 3D city model of the street environment.
%0 Journal Article
%1 isprs-annals-IV-1-W1-207-2017
%A Blaser, S.
%A Nebiker, S.
%A Cavegn, S.
%D 2017
%J ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
%K conference review
%P 207--213
%R 10.5194/isprs-annals-IV-1-W1-207-2017
%T SYSTEM DESIGN, CALIBRATION AND PERFORMANCE ANALYSIS OF A NOVEL 360° STEREO PANORAMIC MOBILE MAPPING SYSTEM
%U https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-1-W1/207/2017/
%V IV-1/W1
%X Image-based mobile mapping systems enable the efficient acquisition of georeferenced image sequences, which can later be exploited in cloud-based 3D geoinformation services. In order to provide a 360° coverage with accurate 3D measuring capabilities, we present a novel 360° stereo panoramic camera configuration. By using two 360° panorama cameras tilted forward and backward in combination with conventional forward and backward looking stereo camera systems, we achieve a full 360° multi-stereo coverage. We furthermore developed a fully operational new mobile mapping system based on our proposed approach, which fulfils our high accuracy requirements. We successfully implemented a rigorous sensor and system calibration procedure, which allows calibrating all stereo systems with a superior accuracy compared to that of previous work. Our study delivered absolute 3D point accuracies in the range of 4 to 6 cm and relative accuracies of 3D distances in the range of 1 to 3 cm. These results were achieved in a challenging urban area. Furthermore, we automatically reconstructed a 3D city model of our study area by employing all captured and georeferenced mobile mapping imagery. The result is a very high detailed and almost complete 3D city model of the street environment.
@article{isprs-annals-IV-1-W1-207-2017,
abstract = {Image-based mobile mapping systems enable the efficient acquisition of georeferenced image sequences, which can later be exploited in cloud-based 3D geoinformation services. In order to provide a 360° coverage with accurate 3D measuring capabilities, we present a novel 360° stereo panoramic camera configuration. By using two 360° panorama cameras tilted forward and backward in combination with conventional forward and backward looking stereo camera systems, we achieve a full 360° multi-stereo coverage. We furthermore developed a fully operational new mobile mapping system based on our proposed approach, which fulfils our high accuracy requirements. We successfully implemented a rigorous sensor and system calibration procedure, which allows calibrating all stereo systems with a superior accuracy compared to that of previous work. Our study delivered absolute 3D point accuracies in the range of 4 to 6 cm and relative accuracies of 3D distances in the range of 1 to 3 cm. These results were achieved in a challenging urban area. Furthermore, we automatically reconstructed a 3D city model of our study area by employing all captured and georeferenced mobile mapping imagery. The result is a very high detailed and almost complete 3D city model of the street environment.},
added-at = {2021-12-02T16:46:56.000+0100},
author = {Blaser, S. and Nebiker, S. and Cavegn, S.},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2366275dd642076c2733e9bd7d190e30f/markusenglich},
doi = {10.5194/isprs-annals-IV-1-W1-207-2017},
interhash = {301fbc652644398e7d09870ef376d6d9},
intrahash = {366275dd642076c2733e9bd7d190e30f},
journal = {ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
keywords = {conference review},
pages = {207--213},
timestamp = {2021-12-02T15:46:56.000+0100},
title = {SYSTEM DESIGN, CALIBRATION AND PERFORMANCE ANALYSIS OF A NOVEL 360° STEREO PANORAMIC MOBILE MAPPING SYSTEM},
url = {https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-1-W1/207/2017/},
volume = {IV-1/W1},
year = 2017
}