Indoor localisation based on point clouds of the ceiling
Syntheses Project 2019
CHRISTINA FRATZESKOU (TU Delft - Architecture and the Built Environment)
Chirag Garg (TU Delft - Architecture and the Built Environment)
Karin Staring (TU Delft - Architecture and the Built Environment)
Mutian Deng (TU Delft - Architecture and the Built Environment)
Celine Jansen (TU Delft - Architecture and the Built Environment)
Edward Verbree (TU Delft - GIS Technologie)
Martijn Meijers (TU Delft - GIS Technologie)
Edward Verbree – Mentor (TU Delft - GIS Technologie)
B.M. Meijers – Graduation committee member (TU Delft - GIS Technologie)
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Abstract
Indoor localisation is a highly relevant topic. It can be used for many applications,
such as indoor navigation. Current indoor localisation approaches all have certain
downsides. In this report, the results of a completely new indoor localisation approach are described. The aim of this approach is to perform indoor localisation on room level based on a fingerprint solution using point clouds of the ceilings. The ceiling is used, because the ceiling does generally not change much and therefore it is easier to keep an up-to-date database. This research considers both the use of Dense Image Matching (DIM) input from pictures or videos made with a mobile phone and Light Detection And Ranging (LiDAR) input.