Towards multispectral, multi‐sensor indoor positioning and target identification. Issue 15 (1st July 2017) - Kaasalainen, S.
Abstract : 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.