Thesis supervisor: Tamás Szirányi
Location of studies (in Hungarian): Department of Material Handling and Logistics Systems Abbreviation of location of studies: ALRT
Description of the research topic:
a) Preliminaries: ProActive project (http://web.eee.sztaki.hu/home4/node/36)
b) Research goals:
Progress towards dense sensor networks in the cities and on the roads is a main challenge in the near future. Investigating their behavior and developing new algorithms for high level fusion of the distributed information is an existing demand. With the dense sensor networks around us, the future is about the definition of virtual cooperation and the formation of sensor clusters inside the infinite network driven by specific scenarios/tasks.
In the fields of sensor networks and data fusion, one objective beyond the state of the art that we address is the development of the fundamental theoretical background and modelling framework for understanding the measured environment in a network of freely configured sensors.
• Selecting virtual cooperative groups in the agent network focusing on real or virtual regions of interests; finding cores of attention in arbitrary sensor nets and exploring for hidden groups of virtually related agents;
• Finding the focus of attention evolving as a coherent action of different sensors and cross-modal interactions;
• Geometrical and information inference constraints for building the topology of the sensor network: developing new graph structures for describing geometrical (and/or geographical) directional connectedness of sensors, guided by region of interest areas.
c) Tasks:
a. Registration of on-board (vehicles) and fixed (street) sensor networks;
b. Object detection and tracking shared among the networked mobile and fix sensors;
c. Connection graph modelling in the sensor network;
d. Connection dynamics for multicamera network systems;
e. Analysis on stability and connectedness.
d) Equipments: cameras, Lidars and computer systems of the laboratory; test car for on-board testing.
e) Planned scientific results: Publications in the leading image processing and autonomous driving journals and conferences. Key-words: autonomous driving, sensor network, 3D recognition, simultaneous localization and mapping (SLAM), graph theory.
Required language skills: English Further requirements: Expected background: good math, programming in MATLAB and/or C/C++
Number of students who can be accepted: 2
Deadline for application: 2017-10-12
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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