Skip to main content

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

  • Conference paper
  • First Online:
  • 341 Accesses

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.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  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. Davenport, G.C.: Remote sensing applications in forensic investigations. Hist. Archaeol. 35, 87–100 (2001)

    Article  Google Scholar 

  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. Luo, R.C.: Sensor technologies and microsensor issues for mechatronics systems. IEEE/ASME Trans. Mechatron. 1, 39–49 (1996)

    Article  Google Scholar 

  5. Ben-Ari, M., Mondada, F.: Element of Robotic. Springer (2017)

    Google Scholar 

  6. Bertozzi, M., Broggi, A., Fascioli, A.: Vision-based intelligent vehicles: State of the art and perspectives. Robot. Auton. Syst. 32, 1–16 (2000)

    Article  Google Scholar 

  7. García-Martín, J., Gómez-Gil, J., Vázquez-Sánchez, E.: Non-destructive techniques based on eddy current testing. Sensors 11, 2525–2565 (2011)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  9. Neikov, O.D., Yefimov, N.V., Naboychenko, S.: Handbook of non-ferrous metal powders: technologies and applications. Elsevier (2009)

    Google Scholar 

  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. Wincheski, B., et al.: Characteristics of Ferromagnetic Flux Focusing Lens in the Development of Surface/Subsurface Flaw Detector (1993)

    Google Scholar 

  12. Bowler, N., Huang, Y.: Electrical conductivity measurement of metal plates using broadband eddy-current and four-point methods. Meas. Sci. Technol. 16 (2005)

    Article  Google Scholar 

  13. Tsing, T.-T., Hoai, N.: Dynamic performance measurement of proximity sensors for a mobile robot. Key Eng. Mater. 625 (2014)

    Google Scholar 

  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)

    Article  Google Scholar 

  15. Nguyen, H.: Identification Performance of Proximity Sensor for a Mobile Robot. Final thesis, Chinese Culture University (2015)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hoai Nguyen .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

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

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Hoang, T., Nguyen, H., Nguyen, T.L.C., Le, K.X., Phung, T.M. (2019). Dynamic Measurement for Detecting the Road of an Autonomous Vehicle Using the Proximity Sensor. In: Cong Vinh, P., Alagar, V. (eds) Context-Aware Systems and Applications, and Nature of Computation and Communication. ICCASA ICTCC 2018 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 266. Springer, Cham. https://doi.org/10.1007/978-3-030-06152-4_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-06152-4_15

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-06151-7

  • Online ISBN: 978-3-030-06152-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics