The VýLeT program supports faculty students in engaging in research by solving an independent research task in collaboration with a mentor. Students also participate in the preparation of a journal article or a paper for a professional conference. The sixth year of the VýLeT 2022 programme is currently underway at FIT CTU, with 32 students accepted. The previous year of VýLeT 2021 was successfully completed with 12 scholarships awarded .
The whole programme is divided into 3 stages. The output of Phase 1, which takes place in the summer months, is an initial study for the research project, which takes the form of a research paper or a work-in-progress article. In Stage 2, participants submit a paper to a professional conference or an article to a professional journal. In the final part, they write a popularisation article about the results of their research. The students, in cooperation with their mentors from among the academic staff and PhD students of FIT CTU, participate in solving current research problems from the academic sphere and practice.
The current edition of the programme brought together several very interesting research topics in the field of computer science and artificial intelligence. The student of the follow-up master's degree Bc. Matěj Šutý focuses on the problem of using cellular automata to model the movement of pedestrians during evacuation. Cellular models of pedestrian movement are very popular due to their simplicity and ability to capture important phenomena of evacuation. In his project, the student is working on modeling different strategies of movement of individuals in a crowd while passing through a bottleneck and addressing their implications in an evacuation simulation. The student Lukáš Rynt is researching the use of verified translations of public domain documents to create multilingual word embeddings without using the alignment method. The student of the follow-up master's degree Bc. Jana Martínková focuses her work on web ontologies designed for knowledge representation in specific problem domains.
Last year, students dealt with the utilization of robotic agents, drones and high-speed cameras. Ing. Radek Ježek is amnog successful graduates of VýLeT 2021. He summarized the results of his research based on his thesis in the article "Vegetation management around power lines using drone images", which he submitted to a prestigious scientific journal.
„Cílem mé práce bylo vytvořit robustní algoritmus pro automatickou rozpoznávání zásahů vegetace do ochranného pásma elektrického vedení pomocí dronů. Ty jsou schopné létat pouze pár desítek metrů nad dráty a pořizovat kvalitní snímky okolního terénu. Projekt pokrývá celý pracovní postup pro inspekci ochranného pásma drátů vysokého napětí, a to s využitím metod z fotogrammetrie a počítačového vidění,“ říká o svém výzkumném projektu Ing. Radek Ježek.
"The goal of my work was to develop a robust algorithm for automatic detection of vegetation encroachment into power line buffer zones by drones. The drones are only able to fly a few tens of meters above the wires and take good quality images of the surrounding terrain. The project covers the entire workflow for inspecting the protection zone of high-voltage wires, using methods from photogrammetry and computer vision," says Ing. Radek Ježek.
Bc. Kristýna Janovská in her research, which was based on her thesis, dealt with the simulation of building evacuation using artificial intelligence methods. The goal of her research project, entitled 'Multi-agent pathfinding for real robots', was to find non-conflicting paths for mobile agents so that each robotic agent would arrive safely at its destination. She summarized the results of her research conducted under the guidance of her mentor in the paper Hierarchical Control of Swarms during Evacuation, which was published in the Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management.
Information on the VýLeT support programme at https://fit.cvut.cz/cs/zivot-na-fit/aktualne/pravidelne-akce/11244-vyzkumne-leto-na-fit-vylet
Theses of successful applicants at https://dspace.cvut.cz/handle/10467/99538 a https://dspace.cvut.cz/handle/10467/86185.
