Thesis topic proposal
Ákos Zarándy
Research of data fusion algoritms for autonomous vehicle control


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

Thesis supervisor: Ákos Zarándy
Location of studies (in Hungarian): "Pázmány Péter Catholic University Faculty of Information Technology and Bionics and Knorr-Bremse Reserach & Development Center"
Abbreviation of location of studies: PPKE

Description of the research topic:

Nowadays the control of the autonomous vehicles defines new challenges for the informatics science; instead of the classical algorithms, new software technologies shall be applied in accordance to special requirements. The candidate shall investigate and develop algorithms that fuse data pieces representing the same physical phenomenon where these data pieces are originated to different sources, interpreted differently and determined by different probability and quality. The aim is the maximisation of the quality and the reliability of the physical properties at the output in order to fulfil the high level safety requirements of autonomous vehicle control. Besides the requirements of the data quality, the research shall target the optimisation of the resource need, the application dependent adaptation capability and the reliability verification complexity in the design of the algorithm.

Required language skills: English
Recommended language skills (in Hungarian): German
Further requirements: 
informatics, mathematical statistics, probability theory, neural networks, Matlab, C++

Number of students who can be accepted: 1

Deadline for application: 2021-07-31

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