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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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)

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

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,