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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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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Fast Surface Normal Estimation from Affine Transformations

We have a novel paper, accepted for ICCV2023. Authors: Levente Hajder, Lajos Lóczi, Daniel Barath Abstract We present a new solver for estimating a surface normal from a single affine

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