Analysis of the possibility of using markers emitting pulsating light in the task of localization

• Autorzy: Miś Piotr , Szulim Przemysław

Identyfikatory

DOI

10.23743/acs-2021-03

• Języki publikacji: EN

Abstrakty

EN

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 corre-sponding 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 researched in order to select optimal marker colors and pulsation frequency. The results are described in a summary.

Słowa kluczowe

EN

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

PL

przetwarzanie obrazu; analiza widma; marker pulsacyjny; lokalizacja; robotyka mobilna

• Wydawca: Polskie Towarzystwo Promocji Wiedzy ; Lublin University of Technology
• Czasopismo: Applied Computer Science
• Rocznik: 2021
• Tom: Vol. 17, no 1
• Strony: 26--39
• Opis fizyczny: Bibliogr. 13 poz., fig.

Twórcy

autor

Miś Piotr

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

• https://orcid.org/0000-0001-6030-0783

autor

Szulim Przemysław

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

• https://orcid.org/0000-0002-1052-3900

Bibliografia

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• [3] 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
• [4] 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
• [5] 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
• [6] 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
• [7] 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
• [8] 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
• [9] 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
• [10] 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
• [11] 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
• [12] 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
• [13] 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

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).