Thesis supervisor: András Lőrincz
Location of studies (in Hungarian): ELTE Faculty of Informatics Abbreviation of location of studies: ELTE
Description of the research topic:
The development of self-driving cars is in the focus of recent industrial projects. It has become important to consider the comfort of the passenger in diverse situations dependent on the needs of the passenger, on the road conditions, on the goals of the passenger and on the other passengers. The task is the interaction by knowing the emotions, the capabilities and the possibilities and by means of model based optimization. Technology is complex; recognition of speech, face, hand, body talk by means of deep neural networks and by the combinations of their outputs are necessary for situation disambiguation. This can be the topic for one of the applicants. The other applicant can deal with the modeling of the environment. S/he will use traditional mono video camera or 360 deg-ee video camera recordings for building a 3D model of the environment from non-moving or moving vehicles. This second topic has divers potential applications beyond self-driving.
Required language skills: fluent English Further requirements: High level knowledge in mathematics, including analysis and linear algebra
Excellent programming skills in C++ and Python
Hard working in a competitive field
Precision and flexibility for teamwork
Number of students who can be accepted: 2
Deadline for application: 2018-05-31
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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