Advertisement

Dynamic Measurement for Detecting the Road of an Autonomous Vehicle Using the Proximity Sensor

  • Thang Hoang
  • Hoai NguyenEmail author
  • Thanh Le Chau Nguyen
  • Khoa Xuan Le
  • Tung Minh Phung
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 266)

Abstract

The majority of sensors have played a vital role in the autonomous vehicle area. In this research, a dynamic model for measuring a characteristic of the analog sensor is developed, the shape of the output signal is a critical factor in road identification of autonomous vehicles. By hand-made testing system is built successfully, a number of alloys and non-magnetic metals (Aluminium and Copper) are considered in every aspect of them. In addition, the comparison experimental outcomes between various dynamic models prove that, with the same metal size (50 × 20), and sensing distance (6 mm), the shape of the output signal of measuring is similar. These results are distinguished clearly with alloys. Signal interference will also be minimized due to the control of the movement speed of the sensor. This is an integral element for approaching road of mobile devices with different obstacles.

Keywords

Dynamic performance Analog proximity sensor Autonomous vehicle Identification Sensing distance 

References

  1. 1.
    Crosby, R.J., Everson Jr., H.W.: Proximity sensor having a non-ferrous metal shield for enhanced sensing range. U.S. Patent, No. 5 (1998)Google Scholar
  2. 2.
    Davenport, G.C.: Remote sensing applications in forensic investigations. Hist. Archaeol. 35, 87–100 (2001)CrossRefGoogle Scholar
  3. 3.
    Woolsey, K., Lamping, J., Marler, J., Burreson, B., Knudson, S.: Inductive proximity sensor for detecting ferromagnetic, non-permeable or magnet targets. U.S. Patent No. 6 (2002)Google Scholar
  4. 4.
    Luo, R.C.: Sensor technologies and microsensor issues for mechatronics systems. IEEE/ASME Trans. Mechatron. 1, 39–49 (1996)CrossRefGoogle Scholar
  5. 5.
    Ben-Ari, M., Mondada, F.: Element of Robotic. Springer (2017)Google Scholar
  6. 6.
    Bertozzi, M., Broggi, A., Fascioli, A.: Vision-based intelligent vehicles: State of the art and perspectives. Robot. Auton. Syst. 32, 1–16 (2000)CrossRefGoogle Scholar
  7. 7.
    García-Martín, J., Gómez-Gil, J., Vázquez-Sánchez, E.: Non-destructive techniques based on eddy current testing. Sensors 11, 2525–2565 (2011)CrossRefGoogle Scholar
  8. 8.
    Mercier, D., Lesage, J., Decoopman, X., Chicot, D.: Eddy currents and hardness testing for evaluation of steel decarburizing. NDT E Int. 39, 652–660 (2006)CrossRefGoogle Scholar
  9. 9.
    Neikov, O.D., Yefimov, N.V., Naboychenko, S.: Handbook of non-ferrous metal powders: technologies and applications. Elsevier (2009)Google Scholar
  10. 10.
    Kamanalu, S.S.: Proximity and Thickness Estimation of Aluminum 3003 Alloy Metal Sheets Using Multi-Frequency Eddy Current Sensor. Diss. Wright State University (2010)Google Scholar
  11. 11.
    Wincheski, B., et al.: Characteristics of Ferromagnetic Flux Focusing Lens in the Development of Surface/Subsurface Flaw Detector (1993)Google Scholar
  12. 12.
    Bowler, N., Huang, Y.: Electrical conductivity measurement of metal plates using broadband eddy-current and four-point methods. Meas. Sci. Technol. 16 (2005)CrossRefGoogle Scholar
  13. 13.
    Tsing, T.-T., Hoai, N.: Dynamic performance measurement of proximity sensors for a mobile robot. Key Eng. Mater. 625 (2014)Google Scholar
  14. 14.
    Tsung, Tsing-Tshih, Hoai, Nguyen: Measurement of static performance of inductive proximity switch for a mobile robot. Appl. Mech. Mater. 404, 502–507 (2013)CrossRefGoogle Scholar
  15. 15.
    Nguyen, H.: Identification Performance of Proximity Sensor for a Mobile Robot. Final thesis, Chinese Culture University (2015)Google Scholar

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  • Thang Hoang
    • 1
  • Hoai Nguyen
    • 2
    Email author
  • Thanh Le Chau Nguyen
    • 2
  • Khoa Xuan Le
    • 3
  • Tung Minh Phung
    • 2
  1. 1.National Taipei University of TechnologyTaipeiTaiwan, R.O.C.
  2. 2.University of Technology and Education, The University of DanangDa Nang CityViet Nam
  3. 3.Centre for Sustainable Technologies, University of UlsterNewtownabbey, Co AntrimUK

Personalised recommendations