Volume XLI-B4
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 319-324, 2016
https://doi.org/10.5194/isprs-archives-XLI-B4-319-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 319-324, 2016
https://doi.org/10.5194/isprs-archives-XLI-B4-319-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

  13 Jun 2016

13 Jun 2016

GEOFENCING-BASED LOCALIZATION FOR 3D DATA ACQUISITION NAVIGATION

M. Nakagawa, T. Kamio, H. Yasojima, and T. Kobayashi M. Nakagawa et al.
  • Dept. of Civil Engineering, Shibaura Institute of Technology, Tokyo, Japan

Keywords: Indoor mobile mapping, Indoor positioning Geofencing, iBeacon, Time-of-flight camera

Abstract. Users require navigation for many location-based applications using moving sensors, such as autonomous robot control, mapping route navigation and mobile infrastructure inspection. In indoor environments, indoor positioning systems using GNSSs can provide seamless indoor-outdoor positioning and navigation services. However, instabilities in sensor position data acquisition remain, because the indoor environment is more complex than the outdoor environment. On the other hand, simultaneous localization and mapping processing is better than indoor positioning for measurement accuracy and sensor cost. However, it is not easy to estimate position data from a single viewpoint directly. Based on these technical issues, we focus on geofencing techniques to improve position data acquisition. In this research, we propose a methodology to estimate more stable position or location data using unstable position data based on geofencing in indoor environments. We verify our methodology through experiments in indoor environments.