Indoor localisation based on point clouds of the ceiling

Syntheses Project 2019

Student report (2019)

Authors

C. FRATZESKOU Architecture and the Built Environment
C. Garg Architecture and the Built Environment
K.J. Staring Architecture and the Built Environment
M. Deng Architecture and the Built Environment
C.P.E. Jansen Architecture and the Built Environment
E. Verbree GIS Technologie - Architecture and the Built Environment
B.M. Meijers GIS Technologie - Architecture and the Built Environment

Contributors

E. Verbree GIS Technologie - Architecture and the Built Environment (mentor)
B.M. Meijers GIS Technologie - Architecture and the Built Environment (graduation committee member)
Research Group
GIS Technologie (Architecture and the Built Environment) (TU Delft), GIS Technologie (Architecture and the Built Environment) (TU Delft)
Copyright: © 2019 CHRISTINA FRATZESKOU, Chirag Garg, Karin Staring, Mutian Deng, Celine Jansen, Edward Verbree, Martijn Meijers
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Published Date

28-07-2019

Language

English

Reuse Rights

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Faculty

Architecture and the Built Environment

Department

Architectural Engineering +Technology

Research Group

GIS Technologie

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.

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