ANALYSIS OF THE POSSIBILITY OF USING MARKERS EMITTING PULSATING LIGHT IN THE TASK OF LOCALIZATION

Piotr Miś

piotr.mis.stud@pw.edu.pl
Warsaw University of Technology, Faculty of Automotive and Construction Machinery Engineering (Poland)

Przemysław Szulim


Warsaw University of Technology, Faculty of Automotive and Construction Machinery Engineering, Warsaw (Poland)

Abstract

This work shows the possibility of using spectral analysis in order to detect characteristic points in recorded images. The specific point is a marker in the form of a diode that flashes at a certain frequency. Main assumptions of the processing algorithm are the recording of a sequence of images and treatment change of level of brightness for each pixel as a time signal. The amplitude spectrum is determined for each time signal. The result of data processing is an amplitude image whose pixels brightness corresponding to the intensity of source of pulsating light emitting specific frequency. This new data representation is used  to detect position of markers. The algorithm was re¬searched in order to select optimal marker colors and pulsation frequency. The results are described in a summary.


Keywords:

image processing, spectrum analysis, pulsating marker, localization, mobile robotics

Guan, W., Wen, S., Zhang, H., & Liu, L. (2018). A novel three-dimensional indoor localization algorithm based on visual visible light communication using single LED. In IEEE International Conference on Automation, Electronics and Electrical Engineering, AUTEEE (pp. 202–208). http://doi.org/10.1109/AUTEEE.2018.8720798
DOI: https://doi.org/10.1109/AUTEEE.2018.8720798   Google Scholar

Hassan, N. U., Naeem, A., Pasha, M. A., Jadoon, T., & Yuen, C. (2015). Indoor positioning using visible LED lights: A survey. ACM Computing Surveys, 48(2), 20:1–20:32. http://doi.org/10.1145/2835376
DOI: https://doi.org/10.1145/2835376   Google Scholar

Hong, C.-Y., Wu, Y.-Ch., Liu, Y., Chow, Ch.-W., Yeh, Ch.-H., Hsu, K.-L., Lin, D.-Ch., Liao, X.-L., Lin, K.-H., & Chen, Y.-Y. (2020). Angle-of-Arrival (AOA) Visible Light Positioning (VLP) System Using Solar Cells with Third-Order Regression and Ridge Regression Algorithms. IEEE Photonics Journal, 12(3), 7902605. http://doi.org/10.1109/JPHOT.2020.2993031
DOI: https://doi.org/10.1109/JPHOT.2020.2993031   Google Scholar

Hossen, M. S., Park, Y., & Kim, K.-D. (2015). Performance improvement of indoor positioning using light-emitting diodes and an image sensor for light-emitting diode communication. Optical Engineering, 54(4),045101. http://doi.org/10.1117/1.OE.54.4.045101
DOI: https://doi.org/10.1117/1.OE.54.4.045101   Google Scholar

Jung, S.-Y., Hann, S., & Park, C.-S. (2011). TDOA-based optical wireless indoor localization using LED ceiling lamps. IEEE Transactions on Consumer Electronics, 57(4), 1592–1597. http://doi.org/10.1109/TCE.2011.6131130
DOI: https://doi.org/10.1109/TCE.2011.6131130   Google Scholar

Kuo, Y.-S., Pannuto, P., & Dutta, P. (2014). Demo – Luxapose: Indoor positioning with mobile phones and visible light. In 20th ACM Annual International Conference on Mobile Computing and Networking, MobiCom (pp. 447–458). New York: ACM. http://doi.org/10.1145/2639108.2641747
DOI: https://doi.org/10.1145/2639108.2641747   Google Scholar

Maheepala, M., Kouzani, A. Z., & Joordens, M. A. (2020). Light-Based Indoor Positioning Systems: A Review. IEEE Sensors Journal, 20(8), 3971–3995. http://doi.org/10.1109/JSEN.2020.2964380
DOI: https://doi.org/10.1109/JSEN.2020.2964380   Google Scholar

Moon, M.-G., Choi, S.-I., Park, J., & Kim, J. Y. (2015). Indoor positioning system using LED lights and a dual image sensor. Journal of the Optical Society of Korea, 19(6), 586–591. http://doi.org/10.3807/JOSK.2015.19.6.586
DOI: https://doi.org/10.3807/JOSK.2015.19.6.586   Google Scholar

Raharijaona, T., Mignon, P., Juston, R., Kerhuel, L., & Viollet, S. (2015). HyperCube: A Small Lensless Position Sensing Device for the Tracking of Flickering Infrared LEDs. Sensors (Switzerland), 15(7), 16484–16502. http://doi.org/10.3390/s150716484
DOI: https://doi.org/10.3390/s150716484   Google Scholar

Wang, C., Wang, L., Chi, X., Liu, S., Shi, W., & Deng, J. (2015). The research of indoor positioning based on visible light communication. China Communications, 12(8), 85–92. http://doi.org/10.1109/CC.2015.7224709
DOI: https://doi.org/10.1109/CC.2015.7224709   Google Scholar

Wu, Y.-C., Hsu, K.-L., Liu, Y., Hong, Ch.-Y., Chow, Ch.-W., Yeh, Ch.-H., Liao, X.-L., Lin, K.-H., & Chen, Y.-Y. (2020). Using linear interpolation to reduce the training samples for regression based visible light positioning system. IEEE Photonics Journal, 12(2), 7901305. http://doi.org/10.1109/JPHOT.2020.2975213
DOI: https://doi.org/10.1109/JPHOT.2020.2975213   Google Scholar

Yeon Kim, B., Cho, J.-S., Park, Y., & Kim, K.-D. (2012). Implementation of indoor positioning using LED and dual PC cameras. In 4th International Conference on Ubiquitous and Future Networks, ICUFN (pp. 476–477). http://doi.org/10.1109/ICUFN.2012.6261753
DOI: https://doi.org/10.1109/ICUFN.2012.6261753   Google Scholar

Zhang, W., Chowdhury, M. I. S., & Kavehrad, M. (2014). Asynchronous indoor positioning system based on visible light communications. Optical Engineering, 53(4), 045105. http://doi.org/10.1117/1.OE.53.4.045105
DOI: https://doi.org/10.1117/1.OE.53.4.045105   Google Scholar

Download


Published
2021-03-30

Cited by

Miś, P., & Szulim, P. . (2021). ANALYSIS OF THE POSSIBILITY OF USING MARKERS EMITTING PULSATING LIGHT IN THE TASK OF LOCALIZATION. Applied Computer Science, 17(1), 26–39. https://doi.org/10.23743/acs-2021-03

Authors

Piotr Miś 
piotr.mis.stud@pw.edu.pl
Warsaw University of Technology, Faculty of Automotive and Construction Machinery Engineering Poland

Authors

Przemysław Szulim 

Warsaw University of Technology, Faculty of Automotive and Construction Machinery Engineering, Warsaw Poland

Statistics

Abstract views: 208
PDF downloads: 29


License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

All articles published in Applied Computer Science are open-access and distributed under the terms of the Creative Commons Attribution 4.0 International License.


Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.