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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New BMVC Paper: Calibration of 2D LiDAR Sensors Using Cylindrical Target

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:

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,

Congratulations to Tarlan Ahadli

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