Open Access Open Access  Restricted Access Subscription or Fee Access

Low-Cost Ultra Wide-Angle Camera for Motion Tracking in Ship Maneuvering Experiments


(*) Corresponding author


Authors' affiliations


DOI: https://doi.org/10.15866/irea.v11i2.23318

Abstract


Ship maneuvering experiments require a motion-tracking system to track the trajectory of the ship model. Some methods for motion tracking have proven to be reliable; however, they are relatively costly. Most studies on low-cost digital optics for motion measurement in hydrodynamic experiments were conducted on moored models with restricted translational motion. In contrast, maneuvering experiments require a measurement system for a wide trajectory area. This paper proposes a low-cost motion tracking system using Yi 4K action camera with an ultra wide-angle lens for measuring the trajectory in maneuvering experiments. The camera was calibrated in two steps using Bouguet's toolbox. For camera pose estimation, a grid pattern was arranged on the water surface of the basin. The motion of the ship model was measured based on the position of LED targets on the model, which were detected by their color in image sequences. Several maneuver experiments were carried out to investigate the accuracy of the system. The proposed method was validated against the Qualysis system in measuring turning diameter. With less than 5% error, it is classified as excellent according to the measurement acceptance criteria.
Copyright © 2023 Praise Worthy Prize - All rights reserved.

Keywords


Camera; Maneuvering; Motion Tracking; Trajectory; Wide-Angle Lens

Full Text:

PDF


References


H. Rahaman, Photogrammetry: what, how, and where, in E. M. Champion (Ed.), Virtual Heritage, 1 (London: Ubiquity Press, 2021, 25-37).
https://doi.org/10.5334/bck.d

M. Marčiš, M. Fraštia, A. Hideghéty, and P. Paulík, Videogrammetric verification of accuracy of wearable sensors used in kiteboarding, Sensors, vol. 21 n. 24, p. 8353, 2021.
https://doi.org/10.3390/s21248353

B. Guan et al., Monitoring the blades of a wind turbine by using videogrammetry, Opt. Lasers Eng., vol. 152, p. 106901, 2022.
https://doi.org/10.1016/j.optlaseng.2021.106901

Batayneh, W., Aburmaileh, Y., Bataineh, A., Experimental Implementation of Tracking Error Elimination for Omnidirectional Wheelchair Using PD-Fuzzy-P Controller, (2021) International Review of Automatic Control (IREACO), 14 (2), pp. 102-112.
https://doi.org/10.15866/ireaco.v14i2.20654

N. Firdaus, E. B. Djatmiko, R. W. Prastianto, and Muryadin, Experimental study on coupled motion of floating crane barge and lifted module in irregular waves, in IOP Conference Series: Earth and Environmental Science, January 2022, vol. 972 n. 1, p. 012070.
https://doi.org/10.1088/1755-1315/972/1/012070

T. T. D. Nguyen, V. M. Nguyen, H. K. Yoon, and Y. H. Kim, An experimental study on the motion of the floater moored near port in waves generated by a ship, J . Navig. Port Res., vol. 44 n. 5, pp. 363-374, 2020.
https://doi.org/10.5394/KINPR.2020.44.5.363

I. Ghamari, M. Greco, O. M. Faltinsen, and C. Lugni, Numerical and experimental study on the parametric roll resonance for a fishing vessel with and without forward speed, Appl. Ocean Res., vol. 101 n. June, p. 102272, 2020.
https://doi.org/10.1016/j.apor.2020.102272

A. Figuero, J. Sande, and E. Peña, Dynamical study of a moored vessel using computer vision, J. Mar. Sci. Technol., vol. 26 n. 2, pp. 240-250, 2018.
https://doi.org/10.6119/JMST.2018.04_(2).0011

C. J. Hollyhead, N. C. Townsend, and J. I. R. Blake, Experimental Investigations into the Current-induced Motion of a Lifeboat at a Single Point Mooring, Ocean Eng., vol. 146, pp. 192-201, 2017.
https://doi.org/10.1016/j.oceaneng.2017.09.045

A. Benetazzo, Accurate measurement of six degree of freedom small-scale ship motion through analysis of one camera images, Ocean Eng., vol. 38 n. 16, pp. 1755-1762, 2011.
https://doi.org/10.1016/j.oceaneng.2011.08.006

E. Nocerino, F. Menna, F. B. Kessler, F. Remondino, and F. B. Kessler, Comparison between single and multi-camera view videogrammetry for estimating 6DOF of a rigid body, in Videometrics, Range Imaging, and Applications XIII, 2015, pp. 180-193.
https://doi.org/10.1117/12.2184977

Y. Mizuchil, T. Ogura, Y. Kim, Y. Hagiwara, and Y. Choi, Camera-based measurement for close-distance relative vessel positioning , J. Mech. Sci. Technol., vol. 31 n. 4, pp. 1899-1907, 2017.
https://doi.org/10.1007/s12206-017-0338-3

K. Ito, T. Tsuyuzaki, D. Yuasa, Y. Choi, and Y. Kim, Development of a portable interface system sharing the positioning and heading information to support a berthing vessel, J. Mar. Sci. Eng., vol. 10 n. 11, p. 1637, 2022.
https://doi.org/10.3390/jmse10111637

G. I. Redfern, Lenses, in Astrophotography is Easy!, (Springer, Cham, 2020, pp. 37-54).
https://doi.org/10.1007/978-3-030-45943-7_3

D. Kim, S. Chang, and H. Kwon, Wide field-of-view , high-resolution plastic lens design with low F-number for disposable endoscopy, Photonics, vol. 8 n. 4, p. 89, 2021.
https://doi.org/10.3390/photonics8040089

I. Ahmed and G. Jeon, A real-time person tracking system based on SiamMask network for intelligent video surveillance, J. Real-Time Image Process., vol. 18 n. 5, pp. 1803-1814, 2021.
https://doi.org/10.1007/s11554-021-01144-5

L. Fredianelli et al., Traffic flow detection using camera images and machine learning methods in ITS for noise map and action plan optimization, Sensors, vol. 22 n. 5, p. 1929, 2022.
https://doi.org/10.3390/s22051929

Q. Han, N. Zhao, and J. Xu, Recognition and location of steel structure surface corrosion based on unmanned aerial vehicle images, J. Civ. Struct. Heal. Monit., vol. 11 n. 5, pp. 1375-1392, 2021.
https://doi.org/10.1007/s13349-021-00515-7

B. M. Hopkinson and S. M. Bhandarkar, High-resolution Ecosystem Mapping in Repetitive Environments Using Dual Camera SLAM, Proc. - Int. Conf. Pattern Recognit., vol. 2022-Augus, pp. 4125-4131, 2022.
https://doi.org/10.1109/ICPR56361.2022.9956302

M. Pepe and D. Costantino, Techniques, tools, platforms and algorithms in close range photogrammetry in building 3D model and 2D representation of objects and complex architectures, Comput. Aided. Des. Appl., vol. 18 n. 1, pp. 42-65, 2020.
https://doi.org/10.14733/cadaps.2021.42-65

D. Ventura et al., Seagrass restoration monitoring and shallow-water benthic habitat mapping through a photogrammetry-based protocol, J. Environ. Manage., vol. 304, p. 114262, 2022.
https://doi.org/10.1016/j.jenvman.2021.114262

Z. Irawanto, I. M. Ariana, and Erwandi, Barrel distortion correction for digital optic-based motion tracking in ship hydrodynamic model experiments, in IOP Conference Series: Earth and Environmental Science, September 2022, vol. 1081 n. 1, p. 012040.
https://doi.org/10.1088/1755-1315/1081/1/012040

J. Y. Bouguet, Camera Calibration Toolbox for Matlab, 2003.
http://robots.stanford.edu/cs223b04/JeanYvesCalib/

D. C. Brown, Decentering distortion of lenses, Photom. Eng., vol. 32 n. 3, pp. 444-462, 1966.

W. Li, S. Nie, M. Soto-Thompson, C.-I. Chen, and Y. I. A-Rahim, Robust distortion correction of endoscope, in Medical Imaging 2008: Visualization, Image-guided Procedures, and Modeling, March 2008, vol. 6918, pp. 373-380.
https://doi.org/10.1117/12.769243

H. Haneishi and Y. Miyake, Distortion compensation of electronic endoscope image, in 1993 IEEE Conference Record Nuclear Science Symposium and Medical Imaging Conference, 1993, pp. 1717-1721.
https://doi.org/10.1109/NSSMIC.1993.373585

Adobe Systems Inc., PostScript Language Reference Manual. (Addison-Wesley Longman Publishing Co., Inc., 1990).

R. Jain, R. Kasturi, and B. G. Schunck, Image filtering, in Machine vision (New York: McGraw-hill, 1995, 112-139).

Kok, K., Rajendran, P., Ali, A., Spot and Adjust Filter: a New Image Filter for Image Enhancement and Noise Reduction, (2020) International Journal on Engineering Applications (IREA), 8 (2), pp. 71-78.
https://doi.org/10.15866/irea.v8i2.17994

Natarajan, B., Shantharajah, S., Image Denoising and Contrast Via Intensity Histogram Equalization Method, (2014) International Review on Computers and Software (IRECOS), 9 (6), pp. 988-996.

M. R. Shortis, T. A. Clarke, and T. Short, A comparison of some techniques for the subpixel location of discrete targets, in Videometrics III, October 1994, vol. 2350, pp. 239-250, SPIE.
https://doi.org/10.1117/12.189136

B. K. Bhagavan and R. J. Polge, Performance of the g-h filter for tracking maneuvering targets, IEEE Trans. Aerosp. Electron. Syst., vol. AES-10 n. 6, pp. 864-866, 1974.
https://doi.org/10.1109/TAES.1974.307894

P. Moral and J. Jacod, Interacting particle filtering with discrete observations, in A. Doucet, N. de Freitas, and N. Gordon (Ed.), Sequential Monte Carlo Methods in Practice. Statistics for Engineering and Information Science (New York : Springer, 2001, 43-75).
https://doi.org/10.1007/978-1-4757-3437-9_3

R. E. Kalman, A new approach to linear filtering and prediction problems, J. Fluids Eng. Trans. ASME, vol. 82 n. 1, pp. 35-45, 1960.
https://doi.org/10.1115/1.3662552

Hayajneh, M., Interacting Multiple Model Adaptive Unscented Kalman Filter for Accurate Localization of a High-Dynamic Motion Mobile Robot Using Wireless Sensor Network, (2022) International Review of Automatic Control (IREACO), 15 (5), pp. 276-284.
https://doi.org/10.15866/ireaco.v15i5.22688

Habib, T., Abouhogail, R., Efficient Simultaneous Spacecraft Attitude and Orbit Estimation via Neural Networks, (2021) International Review of Aerospace Engineering (IREASE), 14 (6), pp. 346-353.
https://doi.org/10.15866/irease.v14i6.20312

Noori, O., Mustafa, M., Compressed Extended Kalman Filter for Sensorless Control of Asynchronous Motor, (2020) International Journal on Energy Conversion (IRECON), 8 (6), pp. 200-211.
https://doi.org/10.15866/irecon.v8i6.19202

Habib, T., Replacement of In-Orbit Modern Spacecraft Attitude Determination and Estimation Algorithms with Neural Networks, (2021) International Review of Aerospace Engineering (IREASE), 14 (3), pp. 166-172.
https://doi.org/10.15866/irease.v14i3.19687

M. Fusca, F. Negrini, P. Perego, L. Magoni, F. Molteni, and G. Andreoni, Validation of a wearable IMU system for gait analysis: Protocol and application to a new system, Appl. Sci., vol. 8 n. 7, p. 1167, 2018.
https://doi.org/10.3390/app8071167


Refbacks

  • There are currently no refbacks.



Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize