A Multi-Target Graph-Constrained HMM Localisation Approach using Sparse Wi-Fi Sensor Data

A Multi-Target Graph-Constrained HMM Localisation Approach using Sparse Wi-Fi Sensor Data

This thesis explored the possibilities of using a Hidden Markov Model approach for multi-target localisation in an urban environment, with observations generated from Wi-Fi sensors. The area is modelled as a network of nodes and arcs, where the arcs represent sidewalks in the area and constitutes th...

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Bibliographic Details
Main Authors: Danielsson, Simon, Flygare, Jakob
Format: Others
Language:English
Published: KTH, Optimeringslära och systemteori 2018
Subjects:
Hidden Markov Model
Localisation
Wi-Fi Sensors
Forward-Backward Algorithm
Baum-Welch Algorithm
Machine Learning
Time Series Analysis.
Lokalisering
Wi-Fi Sensorer
Forward-Backward Algoritm
Baum-Welch Algoritm
Maskinlärning
Tidsserieanalys.
Computational Mathematics
Beräkningsmatematik
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231090

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231090

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