Intelligens jármű-ütközés elemző rendszer  részletek

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Projekt adatai

 
azonosító
49519
típus K
Vezető kutató Várkonyiné Kóczy Annamária
magyar cím Intelligens jármű-ütközés elemző rendszer
Angol cím Intelligent car-crash analysis system
zsűri Informatikai–Villamosmérnöki
Kutatóhely Méréstechnika és Információs Rendszerek Tanszék (Budapesti Műszaki és Gazdaságtudományi Egyetem)
résztvevők Michelberger Pál
Rövid András
Samu Gábor
Selényi Endre
projekt kezdete 2005-01-01
projekt vége 2009-03-31
aktuális összeg (MFt) 14.779
FTE (kutatóév egyenérték) 4.52
állapot lezárult projekt





 

Zárójelentés

 
kutatási eredmények (magyarul)
A kutatási program során intelligens jel- és képfeldolgozó, modellezési valamint diagnosztikai elemző módszerek kerültek kifejlesztésre, amelyek lehetővé teszik egy olyan automatikus ütközés elemző rendszer megvalósítását, amely baleseti szituációkról készült digitális fényképek alapján autonóm módon – emberi beavatkozás nélkül - képes a 3D modell, a deformációs energia és ezen keresztül az ütközés irányának és sebességének meghatározására. A rendszer alapját a digitális (jel- és) képfeldolgozás intelligens módszerekkel történő ötvözése képezi, ami lehetőséget nyújt a számítási idő csökkentésére és a pontosság növelésére. Alkalmazása (illetve továbbfejlesztése összetettebb esetek vizsgálatára) új információkhoz vezet, melyek ismeretében egy baleset automatikusan rekonstruálható, valamint a jármű biztonsági berendezései úgy alakíthatók, hogy az utas védelem minél hatékonyabb legyen. A kitűzött és megvalósított célok szorosan kapcsolódnak a számítógépes grafika illetve a számítógéppel segített intelligens modellezés és tervezés feladataihoz. A kutatásnak a modellezésben, jel- és képfeldolgozásban, a képminőségjavítás, információkiemelés, és 3D rekonstrukció terén elért eredményei a konkrétan megjelölt jármű-ütközés analízisen túlmenően olyan diagnosztikai, monitorozó és elemző rendszerek kialakításában is komoly szerephez juthatnak, amelyek széles körben alkalmazhatók a közlekedés, gépészet, robotika, építészet, egészségügy legkülönbözőbb területein.
kutatási eredmények (angolul)
As a result of the research project, new signal- and image processing, modeling, and diagnostics methods have been developed which together offer a way for automatic car crash analysis. This system is able to determine the 3D model of the deformed car, the deformation energy, the direction and speed of the impact based on digital photos made of the crashed car. The system combines digital signal- and image processing techniques with intelligent methods. By this, the computational time can de decreased while the reliability of the results increased. Using the car crash analysis system we can get into possession of new information by which the circumstances of accidents can automatically be reconstructed, and furthermore, safe car-body design can be achieved. The planned and implemented aims of the project are strongly related to the problems of computer graphics and computer aided modeling and design. Beyond car crash analysis, the results of the research in the fields of modeling, signal- and image processing, image quality improvement, information enhancement, and 3D reconstruction may get a significant role in developing diagnostics, monitoring, and analysis systems applicable at a wide range of other engineering problems, e.g. in transportation, mechanical engineering, robotics, architecture, and medical care.
a zárójelentés teljes szövege https://www.otka-palyazat.hu/download.php?type=zarobeszamolo&projektid=49519
döntés eredménye
igen





 

Közleményjegyzék

 
A.R. Várkonyi-Kóczy,: Model Based Anytime Soft Computing Approaches in Engineering Applications., In Balas, V., J. Fodor, A.R. Várkonyi-Kóczy (eds.), Soft Computing Based Modeling in Intelligent Systems (Ser. Studies in Computational Intelligence), Springer Verlag,, 2009
Várkonyi-Kóczy, A.R., A. Rövid, P. Várlaki: Fuzzy Based Brightness Compensation for High Dynamic Range Images, International Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), Vol. 10, No. 4, pp. 549-554, July. 2006, 2006
Várkonyi-Kóczy, A.R., A. Rövid, M.G. Ruano: Soft Computing Based Car Body Deformation and EES Determination for Car Crash Analysis Systems, IEEE Trans. on Instrumentation and Measurement, Vol. 55, No. 6, pp.2304-2312, Dec. 2006, 2006
Várkonyi-Kóczy, A.R., A. Rövid, Sz. Balogh, T. Hashimoto, Y. Shimodaira,: “High Dynamic Range Image Based on Multiple Exposure Time Synthetization,”, Acta Polytechnika Hungarica, Vol. 4, No. 1, pp. 5-15,, 2007
Várkonyi-Kóczy, A.R., A. Rövid,: “High Dynamic Range Image Reproduction Methods,”, IEEE Trans. on Instrumentation and Measurement, Vol. 56, No. 4, pp. 1465-1472, August,, 2007
Várkonyi-Kóczy, A.R: Fuzzy Logic Supported Sketch Based Image Information Enhancement,, International Journal of Advanced Intelligence Paradigms (IJAIP), Vol. 1, No. 1, pp. 31-39, 2008
Várkonyi-Kóczy, A.R.,: “Fuzzy Logic Supported Corner Detection,”, Journal of Intelligent and Fuzzy Systems, Vol. 19, No. 3, pp. 41-50, , March, 2008
A.R. Várkonyi-Kóczy,: A Universal Autonomous Robot Navigation Method, International Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), Vol. 12, No. 2, pp. 206-2213, March, 2008
Várkonyi-Kóczy, A.R., A. Rövid, T. Hashimoto: Gradient Based Synthesized Multiple Exposure Time Color HDR Image, IEEE Trans. on Instrumentation and Measurement, Vol. 57, No 8, pp. 1779-1785, Aug., 2008
Várkonyi-Kóczy, A.R: Fast Anytime Fuzzy Fourier Estimation of Multisine Signals, IEEE Trans. on Instrumentation and Measurement, , Vol. 58, No 5, pp. , May, 2009
Rövid, A., A.R. Várkonyi-Kóczy,: “Car Body Deformation Modeling Based on Soft Computing Techniques and Image Processing,”, In Proc. of the 3rd Int. Conf. On Global Research and Education in Intelligent Systems, Inter-Akademia’2004, Budapest, Hungary, Sep. 6-9, 2004, pp. 75-84., 2004
Rövid, A., A.R. Várkonyi-Kóczy, M.G. Ruano,: “Automatic 3D Modeling Based on Soft Computing Techniques,”, In Proc. of the 8th IEEE Int. Conference on Intelligent Engineering Systems, INES'2004, Cluj-Napoca, Romania, Sep. 19-21, 2004, pp. 199-204., 2004
Várkonyi-Kóczy, A.R., A. Rövid, G. Samu,: Soft Computing Techniques for the Improvement of Signal Processing Algorithms,, In Proc. of the 2nd Serbian-Hungarian Joint Symposium on Intelligent Systems, SISY’2004, Subotica, Serbia and Montenegro, Oct. 1-2, 2004, pp. 201-214., 2004
Várkonyi-Kóczy, A.R. , A. Rövid, G. Ruano,: “Fuzzy Logic Supported Point Correspondence Matching for 3D Reconstruction,”, In Proc. of the 5th Int. Symposium of Hungarian Researchers on Computational Intelligence, Budapest, Hungary, Nov. 11-12, 2004, pp. 47-58., 2004
Rövid, A., A.R. Várkonyi-Kóczy, P. Várlaki,: “An Application of Intelligent 3D Reconstruction in Vehicle System Dynamics,”, In Proc. of the 2nd IEEE Int. Conference on Artificial Intelligence in Science and Technology, AISAT 2004, Tasmania, Hobart, Australia, Nov. 21-25, 2004, pp. 257-262., 2004
Várkonyi-Kóczy, A.R, A. Rövid,: “Iterative Neural Network Model Inversion,”, In Proc. of the 3rd Slovakian-Hungarian Joint Symposium on Applied Machine Intelligence, SAMI 2005, Herlany, Slovakia, Jan. 24-25, 2005, pp. 163-174., 2005
Várkonyi-Kóczy, A.R., A. Rövid,: “Point Correspondence Matching for 3D Reconstruction Using Fuzzy Reasoning,”, In Proc. of the 3rd IEEE International Conference on Computational Cybernetics, ICCC’2005, Mauritius, Apr. 13-16, 2005, pp. 87-92., 2005
Várkonyi-Kóczy, A.R, A. Rövid,: “Observer Based Iterative Neural Network Model Inversion,”, In Proc. of the 14th IEEE Int. Conference on Fuzzy Systems, FUZZ-IEEE’2005, Reno, USA, May 22-25, 2005, pp. 402-407., 2005
Várkonyi-Kóczy, A.R., A. Rövid,: “Improved Fuzzy Based Corner Detection Method,”, In Proc. of the IEEE Int. Workshop on Soft Computing Applications, SOFA’2005, Szeged-Arad, Hungary-Romania, Aug 27-30., 2005, pp. 237-242., 2005
Várkonyi-Kóczy, A.R., M.G. Ruano,: “Anytime Fourier Transformation,”, In CD ROM Proc. of the IEEE Int. Symposium on Intelligent Signal Processing, WISP’2005, Faro, Portugal, Sep. 1-3, 2005., 2005
Várkonyi-Kóczy, A.R., A. Rövid, P. Várlaki,: “Fuzzy Based Brightness Compensation for High Dynamic Range Images,”, In Proc. of the 9th IEEE Int. Conference on Intelligent Engineering Systems, INES’2005, Mediterranean Sea, Greece, Turkey, Sep. 16-19, 2005, pp. 245-248., 2005
Várkonyi-Kóczy, A.R., A. Rövid,: “Dynamic, Brightness and Contrast Tuned Fuzzy Based Image Processing Algorithms,”, In Proc. of the 4th Int. Conf. On Global Research and Education in Intelligent Systems, Inter-Akademia’2005, Wuppertal, Germany, Sep. 19-22, 2005, pp. 477-484., 2005
Várkonyi-Kóczy, A.R., A. Rövid, P. Várlaki,: Fuzzy Based Corner Detector for Point Correspondence Matching,, In. CD ROM Proc. of the 2nd Int. Symposium on Computational Intelligence and Intelligent Informatics, ISCIII’05, Tunis-Gammarth, Tunisia, Oct. 14-16, 2005., 2005
Várkonyi-Kóczy, A.R., A. Rövid,: “Fuzzy Logic Supported High Dynamic Range Image Reproduction Techniques,”, In Proc. of the 6th Int. Symposium of Hungarian Researchers on Computational Intelligence, Budapest, Hungary, Nov. 18-19, 2005, pp.117-129., 2005
Várkonyi-Kóczy, A.R., A. Rövid: A New Corner Detector Supporting Feature Extraction for Automatic 3D Reconstruction, In Proc. of the 4th Slovakian-Hungarian Joint Symposium on Applied Machine Intelligence, SAMI 2006, Herlany, Slovakia, Jan. 20-21, 2006, pp. 195-208., 2006
Várkonyi-Kóczy, A.R., A. Rövid: High Dynamic Range Image Reproduction Methods, In CD-Rom Proc. of the 2006 IEEE Instrumentation and Measurement Technology Conference, IMTC/2006, Sorrento, Italy, April 24-27, 2006, 2006
Várkonyi-Kóczy, A.R., A. Rövid, Sz. Balogh, T. Hashimoto, Y. Shimodaira: High Dynamic Range Imaging Technique Based on the Merging of Maximum Dense Information Regions, in Proc. of the 7th Int. Symposium of Hungarian Researchers on Computational Intelligence, Budapest, Hungary, Nov. 24-25, 2006, pp. 57-68, 2006
Várkonyi-Kóczy, A.R., A. Rövid: Intelligent 3D Deformation Modeling in Vehicle System Dynamics, In Proc. of the 5th Slovakian-Hungarian Joint Symposium on Applied Machine Intelligence, SAMI 2007, Poprad, Slovakia, Jan. 24-26, 2007, pp.59-70, 2007
Rövid, A., T. Hashimoto, A.R. Várkonyi-Kóczy, Y. Shimodaira: "Information Enhancement Method for Image Retrieval and Object Recognition,", 3rd Int. Symposium on Computational Intelligence and Intelligent Informatics, ISCIII’2007, Agadir, Morocco, March 28-30, 2007, pp. 25-29, 2007
Várkonyi-Kóczy, A.R., P. Várkonyi, A. Rövid: “Intelligent 3D Car-Body Deformation Modeling,”, In CD-ROM Proc. of the Second International Conference on Systems, ICONS’2007, Sainte-Luce, Martinique, April 22-28, 2007
Rövid, A., A.R.Várkonyi-Kóczy, T. Hashimoto,Y. Shimodaira: Gradient Based Synthesized Multiple Exposure Time HDR Image, In CD-ROM Proc. of the 2007 IEEE Instrumentation and Measurement Technology Conference, IMTC’2007 Warsaw, Poland, May 1-3,, 2007
Rövid, A., A.R. Várkonyi-Kóczy, T. Hashimoto, Y. Shimodaira,: “Gradient Based Synthesized Maximum Dense High Dynamic Range Image,”, In Proc. of the 11th IEEE Int. Conference on Intelligent Engineering Systems, INES’2007, Budapest, Hungary, June 29-July 1, 2007, pp. 121-126., 2007
Várkonyi-Kóczy, A.R.,: “Fuzzy Logic Supported Frequency Range Estimation for Adaptive Fourier Analysis,”, 2nd IEEE International Workshop on Soft Computing Applications, SOFA’2007, Gyula, Hungary and Oradea, Romania, Aug. 21-23, 2007, pp. 25-31., 2007
Várkonyi-Kóczy, A.R.,: “Autonomous 3D Model Reconstruction and Its Intelligent Applications in Vehicle System Dynamics Part I: Theory,”, 5th IEEE Int. Symposium on Intelligent Systems and Informatics, SISY’2007, Subotica, Serbia, Aug.24-25, 2007, pp. 13-18., 2007
Várkonyi-Kóczy, A.R.,: “Autonomous 3D Model Reconstruction and Its Intelligent Applications in Vehicle System Dynamics Part II: Applications,”, 5th IEEE Int. Symposium on Intelligent Systems and Informatics, SISY’2007, Subotica, Serbia, Aug.24-25, 2007, pp. 19-24., 2007
Várkonyi-Kóczy, A.R., A. Rövid, T. Hashimoto, Y. Shimodaira,: “Fuzzy Logic Supported Multiple Exposure Time Coloured HDR Image Synthesization,”, In Proc. of the 6th Int. Conf. On Global Research and Education in Intelligent Systems, Inter-Akademia’2007, Hamamatsu, Japan, Sep.26-30, 2007, pp. 168-177., 2007
Várkonyi-Kóczy, A.R., A. Rövid, T. Hashimoto,: “HDR Colored Information Enhancement Based on Fuzzy Image Synthesization,”, In Proc. of the 5th IEEE Int. Symposium on Intelligent Signal Processing, WISP’2007, Alcala de Henares, Spain, Oct. 3-5, 2007, pp. 187-192, 2007
Várkonyi-Kóczy, A.R., A. Rövid,: “Fuzzy Logic Supported Coloured Image Information Enhancement,”, in Proc. of the 7th Int. Symposium of Hungarian Researchers on Computational Intelligence, Budapest, Hungary, Nov. , 2007, pp. 189-200., 2007
Várkonyi-Kóczy, A.R.,: “Anytime Fuzzy Fast Fourier Transformation,”, In Proc. of the 12th IEEE Int. Conference on Intelligent Engineering Systems, INES’2008, Miami, USA, Feb.22-29, 2008, pp. 263-268, 2008
Várkonyi-Kóczy, A.R: Anytime Adaptive Fourier Transformation, In CD-ROM Proc. of the 2008 IEEE Int. Instrumentation and Measurement Technology Conference, I2MTC’2008 Victoria, Canada, May 12-15, 2008
Várkonyi-Kóczy, A.R., A. Rövid: Fuzzy Logic Supported Primary Edge Extraction in Image Understanding, In CD-ROM Proc. of the 17th IEEE Int. Conference on Fuzzy Systems, FUZZ-IEEE’2008, Hong Kong, China, June 1-6, 2008
Pék, G., Á. Lászka, A.R. Várkonyi-Kóczy: An Improved Hybrid Navigation Method, In Proc. of the 7th Int. Conf. On Global Research and Education in Intelligent Systems, Inter-Akademia’2008, Pécs, Hungary, Sep.15-18, 2008, pp. 257-273, 2008
Lászka, Á., A.R. Várkonyi-Kóczy, G. Pék, P. Várlaki: Universal Autonomous Robot Navigation Using Quasi Optimal Path Generation, In CD-ROM Proc. of the 4th IEEE Int. Conf.. on Autonomous Robots and Agents, ICARA’2009, Wellington, New Zealand, Feb. 9-12, 2009
Várkonyiné Kóczy A.: Methods of Computational Intelligence for Modeling and Data Representation of Complex Systems, MTA doktori értekezés, nyilvános védés kitűzhető, 2009
A.R.Várkonyi-Kóczy,: New Advances in Digital Signal and Image Processing, Seminar at the University of Alcala de Henares (Madrid), Spain, June 2006, 2006
A.R.Várkonyi-Kóczy,: Intelligent Car-Crash Analysis System, Seminar at the University of Alcala de Henares (Madrid), Spain, June 2006, 2006
Várkonyi-Kóczy, A.R., A. Rövid: Fuzzy Logic Supported Frequency Range Estimation for Adaptive Fourier Analysis, invited talk, Joint 3rd International Conference on Soft Computing and Intelligent Systems and 7th International Symposium on advanced Intelligent Systems, SCIS and ISI, 2006
Várkonyi-Kóczy, A.R.,: “Useful Information Extraction in Image Understanding,”, invited talk at the First International Workshop on Probability and Fuzziness and Their Role in Soft Computing Theory and Applications, Arad, Romania, June 19-20,, 2007
Várkonyi-Kóczy, A.R.,: “Anytime Information Processing in Modeling, Measurement, Diagnostics, and Control,”, PhD Special Course at Shizuoka University, Japan, Nov. 2007., 2007




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