The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publications Copernicus
Download
Citation
Articles | Volume XL-1
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1, 13–18, 2014
https://doi.org/10.5194/isprsarchives-XL-1-13-2014
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1, 13–18, 2014
https://doi.org/10.5194/isprsarchives-XL-1-13-2014

  07 Nov 2014

07 Nov 2014

Video-based Mobile Mapping System Using Smartphones

A. Al-Hamad, A. Moussa, and N. El-Sheimy A. Al-Hamad et al.
  • Department of Geomatics Engineering, Schulich School of Engineering, University of Calgary, 2500 University Dr. NW , Calgary, Alberta, T2N 1N4, Canada

Keywords: Close Range Photogrammetry, Mobile Mapping System, Smartphones, MEMS, Epipolar Geometry

Abstract. The last two decades have witnessed a huge growth in the demand for geo-spatial data. This demand has encouraged researchers around the world to develop new algorithms and design new mapping systems in order to obtain reliable sources for geo-spatial data. Mobile Mapping Systems (MMS) are one of the main sources for mapping and Geographic Information Systems (GIS) data. MMS integrate various remote sensing sensors, such as cameras and LiDAR, along with navigation sensors to provide the 3D coordinates of points of interest from moving platform (e.g. cars, air planes, etc.). Although MMS can provide accurate mapping solution for different GIS applications, the cost of these systems is not affordable for many users and only large scale companies and institutions can benefits from MMS systems.

The main objective of this paper is to propose a new low cost MMS with reasonable accuracy using the available sensors in smartphones and its video camera. Using the smartphone video camera, instead of capturing individual images, makes the system easier to be used by non-professional users since the system will automatically extract the highly overlapping frames out of the video without the user intervention. Results of the proposed system are presented which demonstrate the effect of the number of the used images in mapping solution. In addition, the accuracy of the mapping results obtained from capturing a video is compared to the same results obtained from using separate captured images instead of video.