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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Színezett LiDAR pontfelhő

Autóra szerelt kamerák lépeiből, és LiDAR adatokból rekonstruált jelenetek. LiDAR és kamerák helyzete egymáshoz képest: A készülő cikk kézirata: IJCV manualscript

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2nd Bosch-ELTE Student Competition

The result of the competition is as follows: 1) Pál Szeiler and Milán Matók (100%) 3) Martin Sallai (99%) 4) Máté Poór (89%) Congratulations for the students. Dear MSc and

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