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http://yadda.icm.edu.pl:80/baztech/element/bwmeta1.element.baztech-910474d4-1652-4e0d-8730-b0e8a9a3dd53

Czasopismo

Elektronika : konstrukcje, technologie, zastosowania

Tytuł artykułu

Automatyczne systemy wizyjne usprawniające ruch drogowy i zwiększające bezpieczeństwo

Autorzy Balcerek, J.  Konieczka, A.  Piniarski, K.  Maćkowiak, K.  Marciniak, T.  Dąbrowski, A. 
Treść / Zawartość
Warianty tytułu
EN Automatic vision systems for improvement of traffic efficiency and safety
Języki publikacji PL
Abstrakty
PL W artykule przedstawiono trzy systemy elektroniczne do automatycznego usprawniania i poprawy bezpieczeństwa ruchu drogowego. Pierwszy system wspomaga kierowców w ruszaniu pojazdami sprzed sygnalizacji świetlnej po zmianie świateł z czerwonego na zielone bez niepotrzebnych przestojów. Drugi system wymusza spontaniczne dostosowanie się kierowców do tzw. „metody zamka błyskawicznego” w sytuacjach, kiedy dwa pasy ruchu do jazdy w tym samym kierunku zwężają się do jednego. Trzeci przedstawiony system wspomaga pieszych, ostrzegając o nadjeżdżających z tyłu pojazdach. Prezentowane rozwiązania wykorzystują kamery jako czujniki wizyjne i zaawansowane metody cyfrowego przetwarzania sekwencji wizyjnych. Przedstawione wyniki eksperymentów, przeprowadzonych przy wykorzystaniu utworzonych baz danych, wskazują na wysoką skuteczność zaproponowanych rozwiązań.
EN In this paper three electronic systems for automatic improvement of traffic efficiency and safety are presented. The first one helps the drivers to start movement of cars after the traffic light change from red to green without unnecessary delay. The second system is helpful in situations when two lanes in one direction are merged into a single lane in order to spontaneously organize the “late merge scheme”. The third system supports pedestrians in vehicle detection. All these proposed systems are based on cameras as vision sensors and on advanced digital video processing techniques (detection of traffic lights and their changes from red to green, detection of turn signaling lights of cars, and on detection of vehicle headlights). Experiments with the prepared databases indicate quite high effectiveness of the proposed solutions.
Słowa kluczowe
PL przetwarzanie sygnału wideo   ruch uliczny   bezpieczeństwo pieszych   wykrywanie obiektów   system wspomagania kierowcy   system wspomagania pieszego  
EN video processing   traffic   pedestrian safety   object detection   driver assistance system   pedestrian assistance system  
Wydawca Wydawnictwo SIGMA-NOT
Czasopismo Elektronika : konstrukcje, technologie, zastosowania
Rocznik 2015
Tom Vol. 56, nr 4
Strony 7--13
Opis fizyczny Bibliogr. 23 poz. il., rys., tab.
Twórcy
autor Balcerek, J.
  • Poznań University of Technology, Faculty of Computing, Chair of Control and Systems Engineering, Division of Signal Processing and Electronic Systems
autor Konieczka, A.
  • Poznań University of Technology, Faculty of Computing, Chair of Control and Systems Engineering, Division of Signal Processing and Electronic Systems
autor Piniarski, K.
  • Poznań University of Technology, Faculty of Computing, Chair of Control and Systems Engineering, Division of Signal Processing and Electronic Systems
autor Maćkowiak, K.
  • Poznań University of Technology, Faculty of Computing, Chair of Control and Systems Engineering, Division of Signal Processing and Electronic Systems
autor Marciniak, T.
  • Poznań University of Technology, Faculty of Computing, Chair of Control and Systems Engineering, Division of Signal Processing and Electronic Systems
autor Dąbrowski, A.
  • Poznań University of Technology, Faculty of Computing, Chair of Control and Systems Engineering, Division of Signal Processing and Electronic Systems
Bibliografia
[1] Balcerek J. i in., Recognition of threats in urban areas by means of the analysis of video sequences, Proc. of Multimedia Communications, Services and Security, MCSS 2010, IEEE International Conference, str. 41-48, Kraków, 6-7 maja 2010.
[2] Perry A., Kiryati N., Real-Time Embedded System For Road-Crossing Assistance, MUSCLE International Workshop on Computational Intelligence for Multimedia Understanding, Antalya, Turkey, October 3, 4, 2013, Pages: 50-54.
[3] Balcerek J. i in., Binary depth map generation and color component hole filling for 3D effects in monitoring systems, Proc. of Signal Processing SPA’2011, IEEE Poland Section Chapters Signal Processing, Circuits and Systems, Pages: 138-143, Poznań, Poland, 29-30 September 2011.
[4] Balcerek J. i in., Brightness Correction and Stereovision Impression Based Methods of Perceived Quality Improvement of CCTV Video Sequences. Proc. of 4th International Conference MCSS 2011, Pages: 64-72, June 2-3, Krakow, Poland. Springer. Communications in Computer and Information Science, 2011.
[5] Dąbrowski A. i in., Development of PUEPS corpus of emergency telephone conversations, Proc. of the Language Resources for Public Security Applications Workshop (LRPS 2012) at 8th international conference on Language Resources and Evaluation (LREC 2012), Pages: 8-12, Istanbul, Turkey, 27 May 2012.
[6] Borkowski J., Test systemów start-stop, http://m.auto-swiat.pl/1-test-systemow-start-stop, 07.02.2014.
[7] Yu C., Huang C., Lang Y., Traffic light detection during day and night conditions by a camera, 2010 IEEE 10th International Conference on Signal Processing (ICSP), Pages: 821-824, 2010.
[8] Diaz-Cabrera M., Cerri P., Sanchez-Medina J., Suspended traffic lights detection and distance estimation using color features, 2012 15th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2012, Pages: 1315-1320.
[9] Johnson K., Late Merge...the Zipper System, http://www.dot.state.mn.us/trafficeng/workzone/doc/When-latemerge-zipper.pdf, Minnesota Department of Transportation, United States, Oct. 2008.
[10] Almagambetov A., Casares M., Velipasalar S., Autonomous tracking of vehicle rear lights and detection of brakes and turn signals, 2012 IEEE Symposium on Computational Intelligence for Security and Defence Applications (CISDA), 2012, Pages: 1-7.
[11] Cabani I., Toulminet G., Bensrhair A., Color-based Detection of Vehicle Lights, Proceedings of IEEE Intelligent Vehicles Symposium, 2005, Pages: 278-283.
[12] Mattern F., Floerkemeier C., From the Internet of Computers to the Internet of Things, in: Kai Sachs, Ilia Petrov, Pablo Guerrero (Eds.): From Active Data Management to Event-Based Systems and More, LNCS, Vol. 6462, Springer, 2010, Pages: 242-259.
[13] Winterhalter C.A. i in., Development of electronic textiles to support networks, communications, and medical applications in future U.S. Military protective clothing systems, IEEE Transactions on Information Technology in Biomedicine, Volume: 9, Issue: 3, 2005, Pages: 402-406.
[14] Pavlinic D.Z. i in., Multifunctional protective clothing system: Development vs. Functionality, 36th International Convention on Information & Communication Technology Electronics & Microelectronics (MIPRO), 2013, Pages: 307-311.
[15] ProeTEX 6th Framework IST Integrated Project, IP Firefighter, Firefighter clothing system, http://www.proetex.org/final%20proetex%20learning/firefighters.htm, access: 18.05.2014.
[16] Ching L., Sheng-Min W., The different demands of the smart clothing functions among three types of hikers, 9th International Conference on e-Health Networking, Application and Services, 2007, Pages: 217-220.
[17] Lu Y., Luo W., Lu X., On design of temperature closed loop controller of solar calorific clothing, 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering (CMCE), Volume: 3, 2010, Pages: 435-439.
[18] Schaar A.K., Ziefle M., Smart clothing: Perceived benefits vs. perceived fears, 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2011, Pages: 601-608.
[19] Atkins D., White Book, Avalanche Awareness Provided by RECCO, http://www.recco.com/upload/Global/Images/Downloads/WB_English.pdf, access: 19.05.2014.
[20] Dziennik Ustaw z 2003 roku, nr 220, poz. 2181, załącznik nr 3, Szczegółowe warunki techniczne dla sygnałów drogowych i warunki ich umieszczania na drogach.
[21] Balcerek J. i in., Automatic detection of traffic lights changes from red to green and car turn signals in order to improve urban traffic, Proc. of Signal Processing: Algorithms, Architectures, Arrangements and Applications SPA’2014, IEEE Poland Section Chapters Signal Processing, Circuits and Systems, Pages: 110-115, Poznań, Poland, 22-24 September 2014.
[22] Kerbyson D., Atherton T., Circle detection using Hough transform filters, Fifth International Conference on Image Processing and its Applications, 1995, Pages 370-374.
[23] Balcerek J. i in., Video processing approach for supporting pedestrians in vehicle detection, Proc. of Signal Processing: Algorithms, Architectures, Arrangements and Applications SPA’2014, IEEE Poland Section Chapters Signal Processing, Circuits and Systems, pp. 100-103, Poznań, Poland, 22-24 September 2014.
Kolekcja BazTech
Identyfikator YADDA bwmeta1.element.baztech-910474d4-1652-4e0d-8730-b0e8a9a3dd53
Identyfikatory
DOI 10.15199/13.2015.4.1