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 Windows has been developed. You can download the client and server if you click on the links. 

Server:

Example client:

Data can be found using the links at https://www.hackademix.hu/timeline-of-the-contest/. The server can load these files.

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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.

Videótár

Önvezető rendszerek fejlesztése az ELTE Informatikai Karán – Nyílt Nap 2023.01.20. Computer Vision Research at the ELTE Faculty of Informatics GCVG bemutatkozó videó Relative planar motion for vehicle-mounted cameras from

Fast Surface Normal Estimation from Affine Transformations

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