Image Based Indoor Navigation

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.advisor Xiao, Yu Noreikis, Marius 2014-09-25T08:35:55Z 2014-09-25T08:35:55Z 2014
dc.description.abstract Over the last years researchers proposed numerous indoor localization and navigation systems. However, solutions that use WiFi or Radio Frequency Identification require infrastructure to be deployed in the navigation area and infrastructure less techniques, e.g. the ones based on mobile cell ID or dead reckoning suffer from large accuracy errors. In this Thesis, we present a novel approach of infrastructure-less indoor navigation system based on computer vision Structure from Motion techniques. We implemented a prototype localization and navigation system which can build a navigation map using area photos as input and accurately locate a user in the map. In our client-server architecture based system, a client is a mobile application, which allows a user to locate her or his position by simply taking a photo. The server handles map creation, localization queries and path finding. After the implementation, we evaluated the localization accuracy and latency of the system by benchmarking navigation queries and the model creation algorithm. The system is capable of successfully navigating in Aalto University computer science department library. We were able to achieve an average error of 0.26 metres for successfully localised photos. In the Thesis, we also present challenges that we solved to adapt computer vision techniques for localisation purposes. Finally we observe the possible future work topics to adapt the system to a wide use. en
dc.format.extent 87 s.
dc.format.mimetype application/pdf
dc.language.iso en en
dc.title Image Based Indoor Navigation en
dc.type G2 Pro gradu, diplomityö fi Perustieteiden korkeakoulu fi Perustieteiden korkeakoulu fi
dc.subject.keyword navigation en
dc.subject.keyword structure from motion en
dc.subject.keyword point clouds en
dc.subject.keyword feature extraction en
dc.subject.keyword indoor localisation en
dc.subject.keyword navigation mesh en
dc.subject.keyword pathnding en
dc.identifier.urn URN:NBN:fi:aalto-201409252674
dc.type.dcmitype text en
dc.programme.major Tietokoneverkot fi
dc.programme.mcode T-110
dc.type.ontasot Diplomityö fi
dc.type.ontasot Master's thesis en
dc.contributor.supervisor Ylä-Jääski, Antti
dc.contributor.supervisor Sodin, Peter

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