Awards from NJSZT KÉPAF Conference
We are proud to announce that members of our research group won two awards at KEPAF 2025 – 15th Conference of the Hungarian Association for Image Analysis and Pattern Recognition.
We are proud to announce that members of our research group won two awards at KEPAF 2025 – 15th Conference of the Hungarian Association for Image Analysis and Pattern Recognition.
Tamás Tófalvi, PhD student of our research group presented the work entitled ‘Calibration of 2D LiDAR sensors using cylindrical target’, written by Tófalvi Tamás, Bandó Kovács, and Levente Hajder. Abstract:
Congratulations to Tarlan Ahadli, PhD student of our research group, to who was awarded the ‘Best Talk of the Image Processing’ price at the Conference of PhD Students in Computer
Our colleagues have published a paper at GRAFGEO2024 which overviews how ELTECar can be applied to save traffic situations recorded by different vehicle-mounted sensors. A client-server approach for MS
We have a novel paper, accepted for ICCV2023. Authors: Levente Hajder, Lajos Lóczi, Daniel Barath Abstract We present a new solver for estimating a surface normal from a single affine
Dear MSc and BSc Students, We are pleased to announce the third Bosch programming contest for location detection. The contest is open to BSc and MSc students of ELTE, BME, ÓE,
The result of the competition is as follows: 1) Pál Szeiler and Milán Matók (100%) 3) Martin Sallai (99%) 4) Máté Poór (89%) Congratulations for the students. Dear MSc and
Alighanem mindenki látott már sofőr nélkül közlekedő, önvezető járműveket tudományos-fantasztikus filmekben. Szakértők még 15-20 éve is úgy gondolták, hogy az ilyen közlekedési eszközök mára mindennaposak lesznek. Bár az autógyártók egyre
Autóra szerelt kamerák lépeiből, és LiDAR adatokból rekonstruált jelenetek. LiDAR és kamerák helyzete egymáshoz képest: A készülő cikk kézirata: IJCV manualscript