Skip to main content

Experimental Comparison of Selected Triangulation and TOF Optical Distance Sensors

  • Conference paper
  • First Online:
Automation 2022: New Solutions and Technologies for Automation, Robotics and Measurement Techniques (AUTOMATION 2022)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1427))

Included in the following conference series:

  • 430 Accesses

Abstract

In the paper, features of two optical distance sensors are compared and discussed. The considered sensors are the triangulation sensor GP2Y0A02YK0F and the time-of-flight sensor VL53L0X. To compare and illustrate their features, the results of conducted experiments were used. They are discussed and explanations for some of the observed phenomena are given.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Abah, C., Orekhov, A.L., Johnston, G.L.H., Yin, P., Choset, H., Simaan, N.: A multi-modal sensor array for safe human-robot interaction and mapping. In: 2019 International Conference on Robotics and Automation (ICRA), pp. 3768–3774, May 2019

    Google Scholar 

  2. Ahsan, F., Hasan, K.M.U.: Seeker: autonomous maze-navigating and ball-potting robot. In: 2015 International Conference on Open Source Systems Technologies (ICOSST), pp. 52–57, December 2015

    Google Scholar 

  3. Hasan, O.A., Rashid, A.T., Ali, R.S., Kosha, J.: A practical performance analysis of low-cost sensors for indoor localization of multi-node systems. In: 2017 Internet Technologies and Applications (ITA), pp. 284–289, September 2017

    Google Scholar 

  4. Henderson, M., Kelly, S., Horne, R., Gillham, M., Pepper, M., Capron, J.: Powered wheelchair platform for assistive technology development. In: 2014 Fifth International Conference on Emerging Security Technologies, pp. 52–56, September 2014

    Google Scholar 

  5. Jans, R.M., Green, A.S., Koerner, L.J.: Characterization of a miniaturized IR depth sensor with a programmable region-of-interest that enables hazard mapping applications. IEEE Sens. J. 20, 5213–5220 (2020)

    Article  Google Scholar 

  6. Lentini, G., et al.: Alter-ego: a mobile robot with a functionally anthropomorphic upper body designed for physical interaction. IEEE Robot. Autom. Mag. 26(4), 94–107 (2019)

    Article  Google Scholar 

  7. Li, S., De Wagter, C., de Croon, G.C.H.E.: Unsupervised tuning of filter parameters without ground-truth applied to aerial robots. IEEE Robot. Autom. Lett. 4(4), 4102–4107 (2019)

    Article  Google Scholar 

  8. Lin, Y., Eskandarian, A.: Experimental evaluation of cooperative adaptive cruise control with autonomous mobile robots. In: 2017 IEEE Conference on Control Technology and Applications (CCTA), pp. 281–286, August 2017

    Google Scholar 

  9. Malheiros, P., Gonçalves, J.A.C., da Costa, P.J.C.G.: Towards a more accurate infrared distance sensor model (2009). http://gecad.isep.ipp.pt/iscies09/Papers/19November/iscies09_sharp_model.pdf

  10. Sharp: GP2Y0A02YK0F – distance measuring sensor unit measuring distance: 20 to 150 cm. https://global.sharp/products/device/lineup/data/pdf/datasheet/gp2y0a02yk_e.pdf. Accessed January 2020

  11. STMicroelectronics: VL53L0X – world smallest time-of-flight ranging and gesture detection sensor. https://www.st.com/resource/en/datasheet/vl53l0x.pdf. Accessed January 2020

  12. STMicroelectronics: Time of flight: Principles, challenges, and performance. https://www.st.com/content/dam/technology-tour-2017/session-1_track-4_time-of-flight-technology.pdf. Accessed March 2020

  13. Mehanovic, D., Rancourt, D., Desbiens, A.L.: Fast and efficient aerial climbing of vertical surfaces using fixed-wing UAVs. IEEE Robot. Autom. Lett. 4(1), 97–104 (2019)

    Article  Google Scholar 

  14. Minati, L., Frasca, M., Yoshimura, N., Koike, Y.: Versatile locomotion control of a hexapod robot using a hierarchical network of nonlinear oscillator circuits. IEEE Access 6, 8042–8065 (2018)

    Article  Google Scholar 

  15. Mustapha, B., Zayegh, A., Begg, R.K.: Microcontroller based wireless obstacle detection system for the elderly. In: 2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology, pp. 325–329, December 2014

    Google Scholar 

  16. Papa, U., Del Core, G., Giordano, G., Ponte, S.: Obstacle detection and ranging sensor integration for a small unmanned aircraft system. In: 2017 IEEE International Workshop on Metrology for AeroSpace (MetroAeroSpace), pp. 571–577, June 2017

    Google Scholar 

  17. Portasiak, P.K.: Laboratory stand for testing distance sensors. Engineering thesis, Wrocław University of Science and Technology, February 2018. (in Polish)

    Google Scholar 

  18. Sundram, J., Van Nguyen, D., Soh, G.S., Bouffanais, R., Wood, K.: Development of a miniature robot for multi-robot occupancy grid mapping. In: 2018 3rd International Conference on Advanced Robotics and Mechatronics (ICARM), pp. 414–419, July 2018

    Google Scholar 

  19. Thamrin, N.M., et al.: Tree diameter measurement using single infrared sensor for non-stationary vehicle context in agriculture field. In: 2013 IEEE 4th Control and System Graduate Research Colloquium, pp. 38–42, August 2013

    Google Scholar 

  20. Verbeke, J., Vantilt, J., Vanthienen, D., Vochten, M., Debruyne, S., De Schutter, J.: A constraint-based flight control system architecture for UAVs using the iTASC framework. In: 2016 International Conference on Unmanned Aircraft Systems (ICUAS), pp. 310–319, June 2016

    Google Scholar 

  21. Wnuk, M.: Measurement of deviation from the vertical of a balancing robot trunk. Technical report SPR nr 28/2008, Inst. Inform. Autom. Robot. Politechniki Wrocławskiej, November 2008. (in Polish)

    Google Scholar 

Download references

Acknowledgements

We would like to express our great thankfulness to Igus for providing the module DryLin SLW-1040. We also want to thank very much ST Microelectronics for delivering samples of sensors VL6180X and VL53L0X and the microcontroller modules NUCLEO-F401RE. Finally, we want to thank ZAP-KOOPERACJA Sp. z o.o. for making the device’s housing.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Bogdan Kreczmer .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kreczmer, B., Portasiak, P. (2022). Experimental Comparison of Selected Triangulation and TOF Optical Distance Sensors. In: Szewczyk, R., Zieliński, C., Kaliczyńska, M. (eds) Automation 2022: New Solutions and Technologies for Automation, Robotics and Measurement Techniques. AUTOMATION 2022. Advances in Intelligent Systems and Computing, vol 1427. Springer, Cham. https://doi.org/10.1007/978-3-031-03502-9_29

Download citation

Publish with us

Policies and ethics