A. R. Várkonyi-Kóczy

7004130277

Publications - 7

Universal autonomous robot navigation using quasi optimal path generation

Gábor Pék P. Várlaki Áron Lászka A. R. Várkonyi-Kóczy

Publication Name: Icara 2009 Proceedings of the 4th International Conference on Autonomous Robots and Agents

Publication Date: 2009-06-05

Volume: Unknown

Issue: Unknown

Page Range: 458-463

Description:

Autonomous robot navigation is an important research field because these robots can solve problems where the human presence is impossible, dangerous, expensive, or uncomfortable. In this paper, a new hybrid autonomous navigation method is introduced. The algorithm is composed of visibility graph based global navigation and simple potential field based local navigation parts. It applies a new automated graph generation method which may become necessary if, because of the observed new obstacles, a new path should be generated. The quasi optimal route is found by applying the well known A* algorithm on the graph. The presented technique offers a quasi optimal universal navigation technique which can successfully be used in all, known, unknown, and dynamically changing environments. ©2009 IEEE.

Open Access: Yes

DOI: 10.1109/ICARA.2000.4804008

Fuzzy Based Brightness Compensation for High Dynamic Range Images

András Rövid P. Várlaki A. R. Várkonyi-Kóczy

Publication Name: Journal of Advanced Computational Intelligence and Intelligent Informatics

Publication Date: 2006-07-01

Volume: 10

Issue: 4

Page Range: 549-554

Description:

High dynamic range of illumination may cause serious distortions and other problems in viewing and further processing of digital images. In this paper a new fuzzy based tone reproduction pre-processing algorithm is introduced which may help in developing hardly or nonviewable features and content of the images making easier the further processing of it.

Open Access: Yes

DOI: 10.20965/jaciii.2006.p0549

Uncertainty representation in nonlinear and hybrid systems

P. Várlaki A. R. Várkonyi-Kóczy

Publication Name: Iccc 2005 IEEE 3rd International Conference on Computational Cybernetics Proceedings

Publication Date: 2005-12-01

Volume: 2005

Issue: Unknown

Page Range: 313-318

Description:

Information of any kind always involve some kind of uncertainty, inaccuracy. The model used to represent the information during the information processing can affect the achievable preciseness and can determine the usability of different computing methods, as well. The data model must also be able to represent the uncertainty, inaccuracy of both the input data and the results. The two most popular data models for the representation of uncertain data are the "classical", probability based and the recently introduced fuzzy data model. With the increasing complexity of the computing problems and with the appearance and spreading of new modeling and computing techniques, the evaluation and representation of the uncertainty in different systems become an increasingly important question and methods for the mixed use of different data models can also be needed. This paper deals with the limits of the "classical", probability theory based uncertainty representation and examines possible solutions for information processing based on mixed data models together with different conversion methods between fuzzy and probability theory based representations.

Open Access: Yes

DOI: 10.1109/ICCCYB.2005.1511593

Fuzzy based brightness compensation for high dynamic range images

András Rövid P. Várlaki A. R. Várkonyi-Kóczy

Publication Name: Ines 05 IEEE 9th International Conference on Intelligent Engineering Systems Proceedings

Publication Date: 2005-01-01

Volume: 2005

Issue: Unknown

Page Range: 245-248

Description:

The high dynamic range of illumination may cause serious distortions and problems in the view and further processing of digital images. In this paper a new fuzzy based tone reproduction pre-processing algorithm is introduced which may help in developing the hardly or non viewable features and content of the images making easier the further processing of it. © 2005 IEEE.

Open Access: Yes

DOI: 10.1109/INES.2005.1555166

3D model estimation from multiple images

András Rövid P. Várlaki A. R. Várkonyi-Kóczy

Publication Name: IEEE International Conference on Fuzzy Systems

Publication Date: 2004-12-01

Volume: 3

Issue: Unknown

Page Range: 1661-1666

Description:

3D reconstruction plays a very important role in computer vision. The determination of the 3D model from multiple images is of key importance. In this paper a 3D reconstruction algorithm is introduced, which is capable to determine the 3D model without any external intervention.

Open Access: Yes

DOI: 10.1109/FUZZY.2004.1375430

Soft computing based car body deformation and EES determination for car crash analysis systems

András Rövid Pál Michelberger P. Várlaki A. R. Várkonyi-Kóczy Maria Da Graça Ruano

Publication Name: Conference Record IEEE Instrumentation and Measurement Technology Conference

Publication Date: 2004-10-08

Volume: 3

Issue: Unknown

Page Range: 1674-1679

Description:

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 absorbed by the deformation and the corresponding Energy Equivalent Speed can be of key importance, however their precise determination is a very difficult task. Although, using the results of crash tests, intelligent and soft methods offer a way to model the crash process itself, as well as to determine the absorbed energy, the before-crash speed of the car, etc. In this paper a modeling technique and an intelligent expert system are introduced which together are able to follow the deformation process of car bodies in car crashes and to analyze the strength of the different parts, thus significantly can contribute to the improvement of the safety of car bodies.

Open Access: Yes

DOI: DOI not available

State dependent anytime control methodology for prototypical aeroelastic wing section with structural non-linearity

P. Várlaki L. Kiss A. R. Várkonyi-Kóczy P. Baranyi

Publication Name: IEEE International Symposium on Industrial Electronics

Publication Date: 2003-01-01

Volume: I

Issue: Unknown

Page Range: 200-205

Description:

Nowadays in solving control problems the processing is performed typically by model-based computer systems, which contain a representation of our knowledge about the nature and the actual circumstances of the problem in hand. If the nature and/or the actual circumstances change the corresponding model should also be changed. Anytime techniques are very flexible in this respect and can advantageously be used when the operation should be performed under changing circumstances. In this paper, a nonlinear state dependent control methodology is proposed for anytime use and as an example is applied to globally stabilize a given prototypical aeroelastic wing section via one control surface.

Open Access: Yes

DOI: 10.1109/ISIE.2003.1267245