Thesis topic proposal
Kálmán Tornai
Péter Szolgay
Sensor data based object recognition with machine learning


Institute: Pázmány Péter Catholic University, Budapest
computer sciences
Roska Tamás Doctoral School of Sciences and Technology

Thesis supervisor: Péter Szolgay
co-supervisor: Kálmán Tornai
Location of studies (in Hungarian): Pázmány Péter Catholic University Faculty of Technology and Bionics
Abbreviation of location of studies: PPKE

Description of the research topic:

The focus of this research project is to create efficient object recognition and classification methods, especially the open set recognition algorithms, to process data from sensor readings. The primary fields of application are the processing of data gathered from intelligent sensor networks and mobile handheld devices, as well as the categorization of objects based on their behavior. The implementation and evaluation of the methods in simulation and real environments are part of the research tasks.

Required language skills: English
Further requirements: 
User level knowledge of the python programming language, good analytical thinking

Number of students who can be accepted: 1

Deadline for application: 2021-07-31

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