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 a single affine correspondence
ICRA 2020

Least-squares Optimal Relative Planar Motion for Vehicle-mounted Cameras
ICRA 2020

Automatic LiDAR-camera calibration using a spherical target
Conference talk ICRA 2020, Tóth et. al.

Sphere reconstruction and back-projection of 3D points
ICRA 2020, Tóth et. al.

Colorized point cloud – LiDAR-camera Calibration in a Uniaxial 1-DoF Sensor System
Tófalvi et. al.

5cam cropped

5cam outside

2points method
w/ ELTECar

2points method 5points used
w/ ELTECar

5 points method
w/ ELTECar

Dense optical flow kalman filter
w/ ELTECar

Valós idejű LiDARfeldolgozás
w/ ELTECar

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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

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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

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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:

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