Search Results - "András Rövid"

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  1. 1

    Semantic Shape and Trajectory Reconstruction for Monocular Cooperative 3D Object Detection by Cserni, Marton, Rovid, Andras

    Published in IEEE access (22-10-2024)
    “…Currently the state-of-the-art monocular 3D object detectors use machine learning to estimate the 6DOF pose and shape of vehicles. This requires large amounts…”
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    Journal Article
  2. 2

    Multi-core processor needs from scheduling point of view by Kiss, Dániel Kristóf, Rövid, András

    “…According to the current processor trend, the cores of the processors are increasing, which ensures much higher computational capacity in multithreaded…”
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    Conference Proceeding
  3. 3

    Towards Cooperative Perception Services for ITS: Digital Twin in the Automotive Edge Cloud by Tihanyi, Viktor, Rövid, András, Remeli, Viktor, Vincze, Zsolt, Csonthó, Mihály, Pethő, Zsombor, Szalai, Mátyás, Varga, Balázs, Khalil, Aws, Szalay, Zsolt

    Published in Energies (Basel) (01-09-2021)
    “…We demonstrate a working functional prototype of a cooperative perception system that maintains a real-time digital twin of the traffic environment, providing…”
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    Journal Article
  4. 4

    On modeling and identification of empirical partially intelligible white noise processes by Várlaki, Péter, Palkovics, László, Rövid, András

    Published in Asian journal of control (01-05-2021)
    “…The paper discusses the identification of the empirical, partially intelligible white noise processes generated by deterministic numerical algorithms. The…”
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    Journal Article
  5. 5

    Indoor real-time 3D reconstruction of crash-tested car cabins by Rövid, András, Szeidl, László, Yamage, Yoshihiro, Takeshi, Masami, Hashimoto, Takeshi

    “…The main contribution of the paper is to propose a novel system for real-time measurement of the inside of crashed and non-crashed car cabins. The proposed…”
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    Conference Proceeding
  6. 6

    Significance of Image Features in Camera-LiDAR Based Object Detection by Csontho, Mihaly, Rovid, Andras, Szalay, Zsolt

    Published in IEEE access (2022)
    “…In autonomous cars accurate and reliable detection of objects in the proximity of the vehicle is necessary in order to perform further safety critical actions…”
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    Journal Article
  7. 7

    Integral Operators in Relation to the HOSVD-Based Canonical Form by Rövid, András, Szeidl, László, Várlaki, Péter

    Published in Asian journal of control (01-03-2015)
    “…This paper describes the relation of the higher order singular value decomposition (HOSVD) based canonical form to the Hilbert‐Schmidt type integral operators…”
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    Journal Article
  8. 8

    Automatic Label Injection Into Local Infrastructure LiDAR Point Cloud for Training Data Set Generation by Vincze, Zsolt, Rovid, Andras, Tihanyi, Viktor

    Published in IEEE access (2022)
    “…The representation of objects in LiDAR point clouds is changed as the height of the mounting position of sensor devices gets increased. Most of the available…”
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    Journal Article
  9. 9

    Error calculation of the HOSVD-based rule base reduction in hierarchical fuzzy systems by Tóth-Laufer, Edit, Rövid, András, Takács, Márta

    Published in Fuzzy sets and systems (15-01-2017)
    “…In real time evaluation systems the decision should be made in time to avoid the serious consequences. In the literature there are several techniques which aim…”
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    Journal Article
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    Gradient-Based Synthesized Multiple Exposure Time Color HDR Image by Varkonyi-Koczy, A.R., Rovid, A., Hashimoto, T.

    “…High dynamic range (HDR) of illumination may cause serious distortion and information loss in the viewing and further processing of digital images. On the…”
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    Journal Article
  13. 13

    Combining Classical and Neural Approaches for Image Segmentation by Cserni, Marton, Rovid, Andras

    “…In addition to detecting the 2D bounding boxes of objects in the image, instance segmentation determines on a pixel level, which pixel corresponds to the…”
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    Conference Proceeding
  14. 14

    Towards Raw Sensor Fusion in 3D Object Detection by Rovid, Andras, Remeli, Viktor

    “…The paper focuses on the problem of raw data fusion in neural networks based 3D object detection architectures. Here we consider the case of autonomous driving…”
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    Conference Proceeding
  15. 15

    High-Dynamic-Range Image Reproduction Methods by Varkonyi-Koczy, A.R., Rovid, A.

    “…The high dynamic range of illumination may cause serious distortions and problems in the viewing and further processing of digital images. Important…”
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    Journal Article
  16. 16

    Soft-Computing-Based Car Body Deformation and EES Determination for Car Crash Analysis Systems by Varkonyi-Koczy, A.R., Rovid, A., Ruano, Md.G.

    “…Car body deformation modeling plays a very important role in crash accident analyses, as well as in safe car body design. The determination of the energy…”
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    Journal Article
  17. 17

    On tensor-product model based representation of neural networks by Rovid, A., Szeidl, L., Varlaki, P.

    “…The approximation methods of mathematics are widely used in theory and practice for several problems. In the framework of the paper a novel tensor-product…”
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    Conference Proceeding
  18. 18

    3D model estimation from multiple images by Rovid, A., Varkonyi-Koczy, A.R., Varlaki, P.

    “…3D reconstruction plays a very important role in computer vision. The determination of the 3D model from multiple images is of key importance. A 3D…”
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    Conference Proceeding
  19. 19

    Control model for loading systems using higher order singular value decomposition by Orban, G., Rovid, A., Varlaki, P.

    “…In this paper we present a method for constructing a control model of loading systems based on higher order singular decomposition (HOSVD) of a tensor. Modern…”
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    Conference Proceeding
  20. 20

    Improvement for anytime systems with modular architecture by Kiss, D. K., Varkonyi-Koczy, A. R., Rovid, A.

    “…Anytime systems represent a subfamily of the realtime ones. They provide continuous operation even in cases when the circumstances are changing, e.g temporary…”
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    Conference Proceeding