Towards multispectral, multi-sensor indoor positioning and target identification

S. Kaasalainen; L. Ruotsalainen; M. Kirkko-Jaakkola; O. Nevalainen; T. Hakala

Towards multispectral, multi-sensor indoor positioning and target identification

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Author(s): S. Kaasalainen ¹¹ ; L. Ruotsalainen ¹¹ ; M. Kirkko-Jaakkola ¹¹ ; O. Nevalainen ²² ; T. Hakala ²²
- Affiliations: 1: Department of Navigation and Positioning, Finnish Geospatial Research Institute – FGI, Geodeetinrinne 2, 02431 Masala, Finland ;
  2: Department of Remote Sensing and Photogrammetry, FGI, Geodeetinrinne 2, 02431 Masala, Finland
Source: Volume 53, Issue 15, 20 July 2017, p. 1008 – 1011
DOI: 10.1049/el.2017.1473 , Print ISSN 0013-5194, Online ISSN 1350-911X

This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)

Received 19/04/2017, Published 27/06/2017

A concept and first results of combining multispectral light detection and ranging (LiDAR) with positioning sensors to produce spatially resolved target identification in indoor environment is presented. The aim is to enhance the sensor-based indoor localisation with a multispectral target identification and mapping. There is a growing need for automatic and mobile mapping and surveillance in buildings and locations where satellite positioning is not available. LiDAR is a common sensor in feature-based simultaneous localisation and mapping. As multispectral LiDARs are emerging and becoming increasingly popular in research applications, the multi/hyperspectral point clouds are likely to improve object recognition and enable a new level of autonomous surveillance in the near future. The first results show that position solution can be obtained using sensors attached to the LiDAR.

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Towards multispectral, multi-sensor indoor positioning and target identification

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