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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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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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,

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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)

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