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1111 Budapest, Kende u. 13-17.
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+36 1 279 6000
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Building on Lágymányosi street
Address
1111 Budapest, Lágymányosi u. 11.
Phone
+36 1 279 6000
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Bálint Laza
Mailing address
1518 Budapest, Pf. 63.
E-mail
laza.balint@sztaki.hun-ren.hu
Phone
+36 1 279 6114
Address
1111 Budapest, Kende s. 13-17.
Postal Address
1518 Budapest, Pf. 63.
Phone
+36 1 279 6000
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+36 1 466 7503
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Departments & laboratories

Artificial Intelligence Laboratory

Society has reached a point of no return, one that leaves us completely reliant on omnipresent ICT-mediated communication. Mobile and sensor-rich portable devices connect millions of humans with Petabytes of data and numerous on-line services. However, tearing down the physical-digital barrier in a scalable fashion requires both radically novel...
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Computational Optical Sensing and Processing Laboratory

The main research challenge of our laboratory is to derive precise abstract information or decisions from large complex noisy topological data sets captured by one or multiple optical sensors. We apply special optical arrangements such as different holographic setups and fluorescent illuminations for microscopic imaging, or multi-spectral camera...
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Department of Distributed Systems

SZTAKI DSD performs research and development to create flexible business and service models, offering the most advanced knowledge technologies to radically improve the integrated IT background to enhance the collaboration among and within enterprises. We primarily aim at ensuring the IT background for platform-independent access, information- and...
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Department of Network Security and Internet Technologies

The department of Network Security and Internet Technologies has a long history of development in the field of computer networking since the seventies. The first packet-switched public network was developed and introduced as a public service by the end of eighties by our Institution. Since 1990, the de-partment’s focus has been Internet technology...
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eLearning Department

The eLearning Department of MTA SZTAKI has become a key player of the domestic eLearning market in the last decade, especially in innovative web and mobile development and different expert areas. The versatile application of the experiences in the areas of education, mobile applications, multimedia and R&D made it possible to reach our results.
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Laboratory of Parallel and Distributed Systems

The research laboratory's mission is conducting research on parallel and distributed systems in order to support the highly parallel and/or distributed execution of grand challenge applications processing very large data sets. We also aim to elaborate new methods and tools for closing the gap between the abstraction level of current parallel and...
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Machine Perception Research Laboratory

Our key concept is Artificial Space Intelligence, where the goal of the Machine Perception research laboratory is the interpretation and organization of information coming from distributed multimodal sensors. Sensors can be dynamic or static imaging devices or other multimedia sources. By spatio-temporal analysis of information we recognize and...
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Research Laboratory on Engineering & Management Intelligence

The main research activities of the Laboratory center around cyber-physical production systems and are aimed at developing such models, methods and techniques that are capable of handling complex production and business systems working in an uncertain, changing environment. Seeking a balance between the aspects of optimization, autonomy and co...
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Systems and Control Lab

The Systems and Control Lab (SCL) is the leading research entity in the field of control and mathematical systems sciences in Hungary. The scope of research involves advanced methods of systems modeling and control, analysis and synthesis of dynamical systems created by traditional and emerging technologies. Systems identification, detection and...
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Further news
Research

Mission

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Competences

Autonomous Robotics

Design and control of robots for independent operation in dynamic environments.

Autonomous Vehicles

Development of self-driving vehicles using AI and advanced sensor technologies.

Cloud Computing and Services

Management and deployment of scalable cloud infrastructures and services.

Computer Science & AI

Study of algorithms and AI.

Cyber-Physical Production Systems

Integration of computing and physical processes in manufacturing and logistics.

Cybersecurity

Protection of computer systems and networks from digital attacks and breaches.

Distributed Systems

Design of scalable and resilient systems distributed across multiple networks.

Machine Perception and Interaction

Enabling machines to understand and interact with the physical world.

Mathematical Optimization and Statistical Machine Learning

Researching and applying mathematical techniques to optimise and learn from data.

U-learning, Multimedia, Virtual Tours

Development of immersive learning experiences using multimedia and virtual reality.
Innovation

Mission

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Results

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SZTAKI szótár
National Laboratories
The National Laboratories coordinated by HUN-REN SZTAKI aim to strengthen domestic R&D and boost the competitiveness of the economy with innovative, world-class solutions.

Research Ventures

Project and Service Highlights

Ipar 4.0 National Technology Platform Association
The goal of this Platform is to support Internet-based economy and innovation by stepping into a new era of technology. Read more

HUN-REN Cloud
Scientific cloud services for research projects. Read more

HUN-REN Data Repository Platform
Scientific Data Repository for the Hungarian Research Community. Read more

SZTAKI
Research
Publications

Publications

Department

Any department 376 Any department 376
Machine Perception Research Laboratory 34
Systems and Control Lab 96 Systems and Control Lab 96
Research Laboratory on Engineering & Management Intelligence 71
Computational Optical Sensing and Processing Laboratory 64
Artificial Intelligence Laboratory 54
Laboratory of Parallel and Distributed Systems 18
Department of Distributed Systems 14 Department of Distributed Systems 14
Research Group of Operations Research and Decision Systems 12
Geometriai Modellezés és Számítógépes Látás Kutatólaboratórium 7
Department of Network Security and Internet Technologies 4
eLearning Department 2 eLearning Department 2

All departments

Publication year

Any year 495 Any year 495
2018 30 (-) 2018 30
1996 4 (-) 1996 4
2025 1 2025 1
2024 9 2024 9
2023 16 2023 16
2022 16 2022 16
2021 15 2021 15
2020 21 2020 21
2019 35 2019 35
2017 29 2017 29
2016 28 2016 28
2015 27 2015 27
2014 16 2014 16
2013 35 2013 35
2012 29 2012 29
2011 25 2011 25
2010 19 2010 19
2009 15 2009 15
2008 9 2008 9
2007 17 2007 17
2006 16 2006 16
2005 20 2005 20
2004 15 2004 15
2003 7 2003 7
2002 6 2002 6
2001 3 2001 3
2000 12 2000 12
1999 5 1999 5
1998 2 1998 2
1997 5 1997 5
1995 1 1995 1
1994 2 1994 2
1993 1 1993 1
1992 4 1992 4

All years

Publication date

2018-02-01

SZTAKI.

Környezetelemzés kompakt lézerszkennerekkel

Authors

Horváth, Győző

Benedek, Csaba

Publication date

2018

In: IX. magyar számítógépes grafika és geometria konferencia, GRAFGEO 2018 Neumann János Számítógép-tudományi Társaság (NJSZT), Budapest, pp. 199-208.

Többosztályú modell illesztés

Authors

Baráth, Dániel

Matas, J

Publication date

2018

In: Third IEEE International Conference on Image Processing, Applications and Systems (IPAS 2018), 2018.12.12-2018.12.14, Sophia Antipolis.

Street object classification via LIDARs with only a single or a few layers

Authors

Rózsa, Zoltán

Szirányi, Tamás

Publication date

2018

In: ECCV 2018, 2018.09.08-2018.09.14, München.

Affine Correspondences between Central Cameras for Rapid Relative Pose Estimation

Authors

Eichhardt, Iván

Csetverikov, Dmitrij

Publication date

2018

In: CBMI 2018. Proceedings of the 2018 International Conference on Content-Based Multimedia Indexing IEEE, Piscataway (NJ), pp. 1-6.

MRI Brain Tumor Segmentation Combining Saliency and Convolutional Network Features

Authors

Takács, Petra

Manno-Kovács, Andrea

Publication date

1996

In: 1996 fourth IEEE international workshop on Cellular Neural Networks and their applications proceedings. CNNA-96. Seville, 1996..

Cellular Neural Network for Markov random field image segmentation

Authors

Szirányi, Tamás

Zerubia, J.

Geldreich, D.

Kato, Z.

Publication date

2018

In: 2018 IEEE Radar Conference (Radarconf’18) IEEE, Oklahoma City (OK), pp. 206-211.

Automatic Target Classification in Passive ISAR Range-Crossrange Images

Authors

Manno-Kovács, Andrea

Giusti, E

Berizzi, F

Kovács, Levente Attila

Publication date

2018

In: ECCV 2018, 2018.09.08-2018.09.14, München.

Multi-Class Model Fitting by Energy Minimization and Mode-Seeking

Authors

Baráth, Dániel

Matas, J

Publication date

2018

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 19, pp. 1-13. ISSN 1524-9050

Obstacle Prediction for Automated Guided Vehicles Based on Point Clouds Measured by a Tilted LIDAR Sensor

Authors

Rózsa, Zoltán

Szirányi, Tamás

Publication date

2018

LECTURE NOTES IN COMPUTER SCIENCE, 11210, pp. 488-503. ISSN 0302-9743

Affine Correspondences Between Central Cameras for Rapid Relative Pose Estimation

Authors

Eichhardt, Iván

Csetverikov, Dmitrij

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About the Institute
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Artificial Intelligence Laboratory

Computational Optical Sensing and Processing Laboratory

Department of Distributed Systems

Department of Network Security and Internet Technologies

eLearning Department

Laboratory of Parallel and Distributed Systems

Machine Perception Research Laboratory

Research Laboratory on Engineering & Management Intelligence

Systems and Control Lab

ARP opening

HUN-REN SZTAKI and MILAB to participate in AI Summit

ISTIC delegation visits HUN-REN SZTAKI

Autonomous Robotics

Autonomous Vehicles

Cloud Computing and Services

Computer Science & AI

Cyber-Physical Production Systems

Cybersecurity

Distributed Systems

Machine Perception and Interaction

Mathematical Optimization and Statistical Machine Learning

U-learning, Multimedia, Virtual Tours

National Laboratories

Research Ventures

Project and Service Highlights

Ipar 4.0 National Technology Platform Association

HUN-REN Cloud

HUN-REN Data Repository Platform

Publications

Környezetelemzés kompakt lézerszkennerekkel

Többosztályú modell illesztés

Street object classification via LIDARs with only a single or a few layers

Affine Correspondences between Central Cameras for Rapid Relative Pose Estimation

MRI Brain Tumor Segmentation Combining Saliency and Convolutional Network Features

Cellular Neural Network for Markov random field image segmentation

Automatic Target Classification in Passive ISAR Range-Crossrange Images

Multi-Class Model Fitting by Energy Minimization and Mode-Seeking

Obstacle Prediction for Automated Guided Vehicles Based on Point Clouds Measured by a Tilted LIDAR Sensor

Affine Correspondences Between Central Cameras for Rapid Relative Pose Estimation