Assessment of the Steering Precision of a Hydrographic Unmanned Surface Vessel (USV) along Sounding Profiles Using a Low-Cost Multi-Global Navigation Satellite System (GNSS) Receiver Supported Autopilot - Publikacja - MOST Wiedzy

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Assessment of the Steering Precision of a Hydrographic Unmanned Surface Vessel (USV) along Sounding Profiles Using a Low-Cost Multi-Global Navigation Satellite System (GNSS) Receiver Supported Autopilot

Abstrakt

he performance of bathymetric measurements by traditional methods (using manned vessels) in ultra-shallow waters, i.e., lakes, rivers, and sea beaches with a depth of less than 1 m, is often difficult or, in many cases, impossible due to problems related to safe vessel maneuvering. For this reason, the use of shallow draft hydrographic Unmanned Surface Vessels (USV) appears to provide a promising alternative method for performing such bathymetric measurements. This article describes the modernisation of a USV to switch from manual to automatic mode, and presents a preliminary study aimed at assessing the suitability of a popular autopilot commonly used in Unmanned Aerial Vehicles (UAV), and a low-cost multi-Global Navigation Satellite System (GNSS) receiver cooperating with it, for performing bathymetric measurements in automated mode, which involves independent movement along a specified route (hydrographic sounding profiles). The cross track error (XTE) variable, i.e., the distance determined between a USV’s position and the sounding profile, measured transversely to the course, was adopted as the measure of automatic control precision. Moreover, the XTE value was statistically assessed in the publication.

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Kategoria:
Publikacja w czasopiśmie
Typ:
artykuły w czasopismach
Opublikowano w:
SENSORS nr 19,
ISSN: 1424-8220
Język:
angielski
Rok wydania:
2019
Opis bibliograficzny:
Specht M., Specht C., Lasota H., Cywiński P.: Assessment of the Steering Precision of a Hydrographic Unmanned Surface Vessel (USV) along Sounding Profiles Using a Low-Cost Multi-Global Navigation Satellite System (GNSS) Receiver Supported Autopilot// SENSORS -Vol. 19,iss. 18 (2019), s.3939-
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.3390/s19183939
Bibliografia: test
  1. IHO. Hydrographic Dictionary, 5th ed.; Vol. I, Special Publication No. 32; IHO: Monaco, Monaco, 1994. 2. CHS. CHS Hydrographic Survey Standards, 2nd ed.; CHS: Ottawa, ON, Canada, 2013. otwiera się w nowej karcie
  2. IHO. Manual on Hydrography, 1st ed.; Publication C-13; IHO: Monaco, Monaco, 2005. otwiera się w nowej karcie
  3. NOAA. NOS Hydrographic Surveys Specifications and Deliverables; NOAA: Silver Spring, MD, USA, 2017. 5. Umbach, M.J. Hydrographic Manual, 4th ed.; NOAA: Silver Spring, MD, USA, 1976. otwiera się w nowej karcie
  4. IHO. IHO Standards for Hydrographic Surveys, 5th ed.; Special Publication No. 44; IHO: Monaco, Monaco, 2008. otwiera się w nowej karcie
  5. Stateczny, A.; Grońska, D.; Motyl, W. Hydrodron-New Step for Professional Hydrography for Restricted Waters. In Proceedings of the 2018 Baltic Geodetic Congress, Gdańsk, Poland, 21-23 June 2018. otwiera się w nowej karcie
  6. Bouwmeester, E.C.; Heemink, A.W. Optimal Line Spacing in Hydrographic Survey. Int. Hydrogr. Rev. 1993, 70, 37-48.
  7. Makar, A. Determination of Inland Areas Coastlines. In Proceedings of the 18th International Multidisciplinary Scientific GeoConference SGEM 2018, Albena, Bulgaria, 2-8 July 2018. otwiera się w nowej karcie
  8. Specht, C.; Weintrit, A.; Specht, M. Determination of the Territorial Sea Baseline-Aspect of Using Unmanned Hydrographic Vessels. TransNav-Int. J. Mar. Navig. Saf. Sea Transp. 2016, 10, 649-654. [CrossRef] otwiera się w nowej karcie
  9. Elema, I.A.; Kwanten, M.C. Introduction of Vertical Reference Level Lowest Astronomical Tide (LAT) in the Products of the Netherlands Hydrographic Service. In Proceedings of the 15th International Congress of the International Federation of Hydrographic Societies, Antwerp, Belgium, 6-9 November 2006.
  10. El-Hattab, A.I. Investigating the Effects of Hydrographic Survey Uncertainty on Dredge Quantity Estimation. Mar. Geod. 2014, 37, 389-403. [CrossRef] otwiera się w nowej karcie
  11. Peters, R.; Ledoux, H.; Meijers, M. A Voronoi-Based Approach to Generating Depth-Contours for Hydrographic Charts. Mar. Geod. 2014, 37, 145-166. [CrossRef] otwiera się w nowej karcie
  12. Russom, D.; Halliwell, H.R.W. Some Basic Principles in the Compilation of Nautical Charts. Int. Hydrogr. Rev. 1978, 55, 11-19.
  13. Stateczny, A.; Włodarczyk-Sielicka, M.; Grońska, D.; Motyl, W. Multibeam Echosounder and LiDAR in Process of 360-Degree Numerical Map Production for Restricted Waters with HydroDron. In Proceedings of the 2018 Baltic Geodetic Congress, Gdańsk, Poland, 21-23 June 2018. otwiera się w nowej karcie
  14. Moore, T.; Hill, C.; Monteiro, L. Is DGPS Still a Good Option for Mariners? J. Navig. 2001, 54, 437-446. [CrossRef] otwiera się w nowej karcie
  15. Dziewicki, M.; Specht, C. Position Accuracy Evaluation of the Modernized Polish DGPS. Pol. Marit. Res. 2009, 16, 57-61. [CrossRef] otwiera się w nowej karcie
  16. GSA. EGNOS Open Service (OS) Service Definition Document; Version 2.3; GSA: Prague, Czech Republic, 2017. otwiera się w nowej karcie
  17. Specht, C.; Pawelski, J.; Smolarek, L.; Specht, M.; Dąbrowski, P. Assessment of the Positioning Accuracy of DGPS and EGNOS Systems in the Bay of Gdansk Using Maritime Dynamic Measurements. J. Navig. 2019, 72, 575-587. [CrossRef] otwiera się w nowej karcie
  18. Wróbel, K.; Montewka, J.; Kujala, P. System-Theoretic Approach to Safety of Remotely-Controlled Merchant Vessel. Ocean Eng. 2018, 152, 334-345. [CrossRef] otwiera się w nowej karcie
  19. Stateczny, A.; Kazimierski, W.; Burdziakowski, P.; Motyl, W.; Wisniewska, M. Shore Construction Detection by Automotive Radar for the Needs of Autonomous Surface Vehicle Navigation. Int. J. Geo-Inf. 2019, 8, 80. [CrossRef] otwiera się w nowej karcie
  20. Stateczny, A.; Burdziakowski, P. Universal Autonomous Control and Management System for Multipurpose Unmanned Surface Vessel. Pol. Marit. Res. 2019, 26, 30-39. [CrossRef] otwiera się w nowej karcie
  21. Li, C.; Jiang, J.; Duan, F.; Liu, W.; Wang, X.; Bu, L.; Sun, Z.; Yang, G. Modeling and Experimental Testing of an Unmanned Surface Vehicle with Rudderless Double Thrusters. Sensors 2019, 19, 2051. [CrossRef] [PubMed] otwiera się w nowej karcie
  22. Romano, A.; Duranti, P. Autonomous Unmanned Surface Vessels for Hydrographic Measurement and Environmental Monitoring. In Proceedings of the FIG Working Week, Rome, Italy, 6-10 May 2012.
  23. Specht, C.; Specht, M.; Cywiński, P.; Skóra, M.; Marchel, Ł.; Szychowski, P. A New Method for Determining the Territorial Sea Baseline Using an Unmanned, Hydrographic Surface Vessel. J. Coast. Res. 2019, 35, 925-936. [CrossRef] otwiera się w nowej karcie
  24. Specht, C.;Świtalski, E.; Specht, M. Application of an Autonomous/Unmanned Survey Vessel (ASV/USV) in Bathymetric Measurements. Pol. Marit. Res. 2017, 24, 36-44. [CrossRef] otwiera się w nowej karcie
  25. Beirami, M.; Lee, H.Y.; Yu, Y.H. Implementation of an Auto-Steering System for Recreational Marine Crafts Using Android Platform and NMEA Network. J. Korean Soc. Marit. Eng. 2015, 39, 577-585. [CrossRef] otwiera się w nowej karcie
  26. Rajinikanth, V.; Latha, K. I-PD Controller Tuning for Unstable System Using Bacterial Foraging Algorithm: A Study Based on Various Error Criterion. Appl. Comput. Intell. Soft Comput. 2012, 2012, 1-10. [CrossRef] otwiera się w nowej karcie
  27. ISO. ISO 12188-2:2012-Tractors and Machinery for Agriculture and Forestry-Test Procedures for Positioning and Guidance Systems in Agriculture-Part 2: Testing of Satellite-Based Auto-Guidance Systems during Straight and Level Travel; ISO: Geneva, Switzerland, 2010. otwiera się w nowej karcie
  28. Rounsaville, J.; Dvorak, J.; Stombaugh, T. Methods for Calculating Relative Cross-Track Error for ASABE/ISO Standard 12188-2 from Discrete Measurements. Trans. ASABE 2016, 59, 1609-1616. otwiera się w nowej karcie
  29. USN. The Navy Unmanned Surface Vehicle (USV) Master Plan. Available online: https://www.navy.mil/ navydata/technology/usvmppr.pdf (accessed on 24 July 2019). otwiera się w nowej karcie
  30. NGA. Department of Defense World Geodetic System 1984, Its Definition and Relationships with Local Geodetic Systems, 3rd ed.; NGA: Springfield, VA, USA, 2004. otwiera się w nowej karcie
  31. Deakin, R.E.; Hunter, M.N.; Karney, C.F.F. The Gauss-Krüger Projection. In Proceedings of the 23rd Victorian Regional Survey Conference, Warrnambool, Australia, 10-12 September 2010.
  32. Gajderowicz, I. Map Projections: Basics; Publishing House of the University of Warmia and Mazury in Olsztyn: Olsztyn, Poland, 2009.
  33. Kadaj, R.J. Polish Coordinate Systems. Transformation Formulas, Algorithms and Softwares. Available online: http://www.geonet.net.pl/images/2002_12_uklady_wspolrz.pdf (accessed on 24 July 2019). otwiera się w nowej karcie
  34. Hofmann-Wellenhof, B.; Lichtenegger, H.; Collins, J. Global Positioning System: Theory and Practice; Springer: New York, NY, USA, 1994. otwiera się w nowej karcie
  35. Stacy, E.W. A Generalization of the Gamma Distribution. Ann. Math. Stat. 1962, 33, 1187-1192. [CrossRef] otwiera się w nowej karcie
  36. Jaskólski, K.; Felski, A.; Piskur, P. The Compass Error Comparison of an Onboard Standard Gyrocompass, Fiber-Optic Gyrocompass (FOG) and Satellite Compass. Sensors 2019, 19, 1942. [CrossRef] otwiera się w nowej karcie
  37. Felski, A. Exploitative Properties of Different Types of Satellite Compasses. Annu. Navig. 2010, 16, 33-40.
  38. Liu, W.; Shi, X.; Zhu, F.; Tao, X.; Wang, F. Quality Analysis of Multi-GNSS Raw Observations and a Velocity-Aided Positioning Approach Based on Smartphones. Adv. Space Res. 2019, 63, 2358-2377. [CrossRef] otwiera się w nowej karcie
  39. Szot, T.; Specht, C.; Specht, M.; Dabrowski, P.S. Comparative Analysis of Positioning Accuracy of Samsung Galaxy Smartphones in Stationary Measurements. PLoS ONE 2019, 14, e0215562. [CrossRef] otwiera się w nowej karcie
  40. Wang, L.; Li, Z.; Zhao, J.; Zhou, K.; Wang, Z.; Yuan, H. Smart Device-Supported BDS/GNSS Real-Time Kinematic Positioning for Sub-Meter-Level Accuracy in Urban Location-Based Services. Sensors 2016, 16, 2201. [CrossRef] otwiera się w nowej karcie
  41. Specht, C.; Dąbrowski, P.S.; Pawelski, J.; Specht, M.; Szot, T. Comparative Analysis of Positioning Accuracy of GNSS Receivers of Samsung Galaxy Smartphones in Marine Dynamic Measurements. Adv. Space Res. 2019, 63, 3018-3028. [CrossRef] otwiera się w nowej karcie
  42. Fissore, F.; Masiero, A.; Piragnolo, M.; Pirotti, F.; Guarnieri, A.; Vettore, A. Towards Surveying with a Smartphone. In New Advanced GNSS and 3D Spatial Techniques; Springer: Cham, Switzerland, 2010; pp. 167-176. otwiera się w nowej karcie
  43. Dabove, P.; Di Pietra, V. Towards High Accuracy GNSS Real-Time Positioning with Smartphones. Adv. Space Res. 2019, 63, 94-102. [CrossRef] otwiera się w nowej karcie
  44. Chen, B.; Gao, C.; Liu, Y.; Sun, P. Real-Time Precise Point Positioning with a Xiaomi MI 8 Android Smartphone. Sensors 2019, 19, 2835. [CrossRef] otwiera się w nowej karcie
  45. Specht, M. Method of Evaluating the Positioning System Capability for Complying with the Minimum Accuracy Requirements for the International Hydrographic Organization Orders. Sensors 2019, 19, 3860. [CrossRef] otwiera się w nowej karcie
  46. Giordano, F.; Mattei, G.; Parente, C.; Peluso, F.; Santamaria, R. MicroVEGA (Micro Vessel for Geodetics Application): A Marine Drone for the Acquisition of Bathymetric Data for GIS Applications. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2015, 40, 123-130. [CrossRef] otwiera się w nowej karcie
  47. Giordano, F.; Mattei, G.; Parente, C.; Peluso, F.; Santamaria, R. Integrating Sensors into a Marine Drone for Bathymetric 3D Surveys in Shallow Waters. Sensors 2016, 16, 41. [CrossRef] otwiera się w nowej karcie
Źródła finansowania:
  • Sfinansowane w ramachprogramu “Diamentowy Grant” Nr DI2015 008545 (finansowanie na lata 2016-20)
Weryfikacja:
Politechnika Gdańska

wyświetlono 145 razy

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