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:

files_to_shm_V1.8.2Download

Example client:

RealTime_Sensor_Visualization+READMEDownload

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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Ongoing project: horizon line detection

We are pleased to announce the launch of our latest research initiative focusing on automated horizon line detection. Accurate horizon estimation is a fundamental challenge in computer vision, playing a

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Code #LikeABosch – Hackademix

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,

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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

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