Abstract
In image processing and robotic applications, two-dimensional (2D) black and white patterned planar markers are widely used. However, these markers are not detectable in low visibility environment and they are not changeable. This research proposes an active and adaptive marker node, which displays 2D marker patterns using light emitting diode (LED) arrays for easier recognition in the foggy or turbid underwater environments. Because each node is made to blink at a different frequency, active LED marker nodes were distinguishable from each other from a long distance without increasing the size of the marker. We expect that the proposed system can be used in various harsh conditions where the conventional marker systems are not applicable because of low visibility issues. The proposed system is still compatible with the conventional marker as the displayed patterns are identical.
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References
Toyoura, M., Aruga, H., Turk, M.: Detecting markers in blurred and defocused images. In: Proceedings of the 2013 International Conference on Cyberworlds (CW 2013), pp. 183–190, Yokohama, Japan (2013)
Jung, J., Li, J., Choi, H., Myung, H.: Localization of AUVs using visual information of underwater structures and artificial landmarks. Intel. Serv. Robotics. 10, 67–76 (2017)
Kim, K., Choi, D., Lim, H., Kim, H., Jeon, J.S.: Vision marker-based in situ examination of bacterial growth in liquid culture media. Sensors 16, 2179 (2016)
AprilTag. https://april.eecs.umich.edu/software/apriltag.html. Accessed 12 Mar 2017
ArUco: A minimal library for Augmented Reality applications based on OpenCV. https://www.uco.es/investiga/grupos/ava/node/26. Accessed 12 Mar 2017
Jung, J., Lee, S., Myung, H.: Indoor mobile robot localization and mapping based on ambient magnetic fields and aiding radio sources. IEEE Trans. Instrum. Measur. 64, 1922–1934 (2015)
Jung, S., Koo, J., Jung, K., Kim, H., Myung, H.: Vision-based autonomous landing system of an unmanned aerial vehicle on a moving vehicle. J. KROS 11, 262–269 (2016)
Han, K., Lee, Y., Choi, H.: Vision based framework for autonomous docking of underwater robots using multi-purpose self-similar landmark. J. CICS 4, 71–72 (2012)
Lee, P., Jeon, B., Kim S.: Visual servoing for underwater docking of an autonomous underwater vehicle with one camera. In: Proceedings of the OCEANS, pp. 677–682, San Diego, USA (2003)
Sohn, K.: A study on the short-range underwater communication using visible LEDs. J. Korea Soc. Mar. Eng. 37(4), 425–430 (2013)
OpenCV library. http://opencv.org/. Accessed 26 Mar 2017
Hull cleaning. http://hullcleaning.com/. Accessed 12 Mar 2017
Fog machine catalog. http://hanainsound.co.kr/product/list.html?cate_no=508. Accessed 26 Mar 2017
Manuals from Dakota City Soil and Water Conservation District. http://www.dakotaswcd.org/pdfs/mm_watclar_fs.pdf. Accessed 26 Mar 2017
Jang, I., Won, D., Baek, W., Shin, C., Lee, S.: Turbidity Characteristics of Korean Port Area. JKAIS 16(12), 8889–8895 (2015)
Shin, J., Jeon, H., Choi, S., Kim. Y., Myung H.: Laser pose calibration of ViSP for precise 6-DOF structural displacement monitoring. SSS 18(4), 801–818 (2016)
Choi, S., Myeong, W., Jeong, Y., Myung, H.: A vision-based 6-DOF displacement measurement method for assemble of PC bridge structures using a planar marker. In: Proceedings of the International Conference on Robot Intelligence Technology (RiTA), pp. 501–509, Bucheon, Korea (2015)
Jung, S., Koo, J., Jung, K., Kim, H., Myung, H.: Vision-based autonomous landing system of an unmanned aerial vehicle on a moving vehicle. JKROS 11(4), 262–269 (2016)
Choi, S., Myeong, W., Myung, H.: A vision-based 6-DOF displacement measurement system using multiple planar markers for precise assemble of PC members. In: Proceedings of the International Conference on Control, Automation and Systems (ICCAS), pp. 1036–1039, Gyeongju, Korea (2016)
Li, J., Liu, H.: Design optimization of amazon robotics. AC I S 4, 48–52 (2016)
Acknowledgements
This work was partially supported by Korea Minister of Ministry of Land, Infrastructure and Transport (MOLIT) through a U-City Master and Doctor Course Grant Program. This work was also supported by grant No. 10043928 from the Industrial Source Technology Development Programs of the MOTIE (Ministry Of Trade, Industry and Energy), Korea.
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Kim, K., Hyun, J., Myung, H. (2019). Adaptive Planar Vision Marker Composed of LED Arrays for Sensing Under Low Visibility. In: Kim, JH., et al. Robot Intelligence Technology and Applications 5. RiTA 2017. Advances in Intelligent Systems and Computing, vol 751. Springer, Cham. https://doi.org/10.1007/978-3-319-78452-6_42
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DOI: https://doi.org/10.1007/978-3-319-78452-6_42
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