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 critical role in autonomous navigation, attitude estimation, and image stabilization for both aerial and maritime platforms. Students are developing robust algorithms designed to perform reliably under diverse environmental conditions. You can find an initial demonstration of our progress in the video below, which showcases our preliminary detection results in real-time scenarios.

You can view preliminary results from recordings made on the streets of Budapest by clicking here. Horizon lines are estimated via vanishing points.

Video created by Márton Koós.

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ELTECar: Real-time Sensor Data Recording and Processing for an Autonomous Vehicle

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

Bosch-ELTE Student Competition for Parking Car Detection

The result of the first Bosch-ELTE competition is as follows: 1) Barbara Szabó 2) Dávid Fischer 3) Bence Csabai Congratulations for the students. The original proposal can be read here:

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