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.

Explore More

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

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.

Visit of Professor Weisi Lin / NTU

On 13 May, Professor Weisi Lin from Nanyang Technological University, Singapore, visited our research group. He gave a seminar entitled ‘Exploring Opportunities with 3D Point Clouds‘. Abstract3D point clouds (PCs)