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Tytuł artykułu

Processing of Information Obtained From Passing Vehicles

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The article discusses the design project of a speed bump enabling the monitoring of the vehicle chassis. The proposed analysis of the chassis will serve the purpose of reducing the threats connected with undesirable interference with in the vehicle’s structure. Additionally, it can allow for identification of foreign objects located under the vehicle, in order to prevent their uncontrolled transfer into or from the protected zone. The duralumin housing with cameras and sensors installed, as well as the matrix of magnetic sensors mounted on the speed bump, make it possible to identify characteristic magnetic anomalies, enabling the comparison of the "map" of the distribution of the magnetic levels of specific vehicle at points representing various time spans. At the same time, magnetic sensors are capable of detecting magnetic objects mounted under the vehicle. The article presents the results of the selection and optimization of individual elements of the monitoring system, and their real operation. The application in the Labview environment ensures the registration and analysis of signals appropriate for the system. The entire detection process can be observed on an ongoing basis on the computer screen, and recordings of various time lapses can be digitally compared by means of processing of the obtained images. The used functions minimize threats connected with unauthorized use of vehicles entering the protected zone where particular safety measures are applied.
Rocznik
Strony
93--103
Opis fizyczny
Bibliogr 8 poz., fot., rys., schem., wykr.
Twórcy
  • Warsaw University of Technology, Institute of Vehicles
autor
  • Warsaw University of Technology, Institute of Vehicles
Bibliografia
  • 1. Chang, R., Gandhi, T., and Trivedi, M. M. (2004). Vision modules for a multi-sensory bridge monitoring approach. In Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No. 04TH8749), pages 971–976. IEEE.
  • 2. Deng, G. and Chang, F. (2012). Anti-cheating road vehicle unstopping weighing system with double weighing platforms. Espacenet (European Patent Office).
  • 3. Hostettler, R., Birk, W., and Nordenvaad, M. L. (2012). Extended Kalman filter for vehicle tracking using road surface vibration measurements. In 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), pages 5643–5648. IEEE.
  • 4. Jose, D., Prasad, S., and Sridhar, V. (2015). Intelligent vehicle monitoring using global positioning system and cloud computing. Procedia Computer Science, 50: 440–446.
  • 5. Mozas-Calvache, A. T. (2016). Analysis of behaviour of vehicles using vgi data. International journal of geographical information science, 30(12): 2486–2505.
  • 6. Ng, E.-H., Tan, S.-L., and Guzman, J. G. (2009). Road traffic monitoring using a wireless vehicle sensor network. In 2008 International Symposium on Intelligent Signal Processing and Communications Systems, pages 1–4. IEEE.
  • 7. Nurhadiyatna, A., Hardjono, B., Wibisono, A., Jatmiko, W., and Mursanto, P. (2012). Its information source: Vehicle speed measurement using camera as sensor. In 2012 International Conference on Advanced Computer Science and Information Systems (ICACSIS), pages 179–184. IEEE.
  • 8. Zhang, Y., Wang, L., and Xiang, Z. (2012). Damage detection by mode shape squares extracted from a passing vehicle. Journal of Sound and Vibration, 331(2): 291–307.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-baa6a3fe-12f9-417e-ba61-1646371869f5
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