Target Detection, Indoor Scene Classification, Visual and three-dimensional mapping for service robots in Healthcare

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Journal Title
Journal ISSN
Volume Title
Sähkötekniikan korkeakoulu | Master's thesis
Date
2021-06-14
Department
Major/Subject
Autonomous Systems
Mcode
ELEC3055
Degree programme
Master's Programme in ICT Innovation
Language
en
Pages
63
Series
Abstract
This thesis details work on different techniques used to implement service robots for indoor environments. This included two machine learning techniques: Target Detection and Indoor scene classification as well as two computer vision techniques: Visual mapping and three-dimensional mapping. Using these techniques, we tried to make service robots better in environments like hospitals. Assistance provided by service robots will help staff in managing tedious tasks without any problem. We used different techniques for mapping and localization so service robots can autonomously navigate from floor to floor. Depth cameras were used to make recognition and mapping better for indoor environments.
Description
Supervisor
Fontanelli, Daniele
Thesis advisor
Zhou, Quan
Keywords
localization, mapping, object recognition, scene recognition, visual mapping, three dimensional mapping
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