Automatyczne systemy wizyjne usprawniające ruch drogowy i zwiększające bezpieczeństwo

• Autorzy: Balcerek, J. , Konieczka, A. , Piniarski, K. , Maćkowiak, K. , Marciniak, T. , Dąbrowski, A.

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

• 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

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• [22] Kerbyson D., Atherton T., Circle detection using Hough transform filters, Fifth International Conference on Image Processing and its Applications, 1995, Pages 370-374.
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Identyfikatory

DOI

10.15199/13.2015.4.1