MARS: An Augmented Reality-Based Marine Chart Display System
The visualization system of nautical charts enhances the safety navigation on sea, particularly in critical areas. Nowadays nautical chart visualization technology considers the benefit of inventive information technology to produce three-dimensional and real-time models which can be easily used. Therefore, this study attempted to develop an Android-based application with Augmented Reality (AR) approach. A digitation of the conventional nautical chart was performed to build a digital nautical chart. This process implemented regulation from United States (US) Chart No. 1 and International Association of Marine Aids to Navigation and Lighthouse Authorities (IALA) Maritime Buoyage System. There are two substantial results of this research: Marine Augmented Reality System (MARS) to display a nautical chart in a three-dimensional form, and Marine Augmented Reality System GPS (MARSGPS) which focuses on integrating the model with its vicinity environment. This brings users to better acknowledge the situation of their environment. The usability test of these products shows that the overall feasibility value is 83.71%. The coordinate accuracy of MARSGPS application has a Root Mean Square Error (RMSE) value of 4.30m, which can be improved through a ground-truth measurement. Nevertheless, this approach provides an essential reference for future research on a three-dimensional nautical chart visualization.
MARS: An Augmented Reality-Based Marine Chart Display System
Pratomo, D. G.,1* Khomsin 1 and Aditya, N.2
1Geomatics Engineering Department, ITS Surabaya, Indonesia
2Geosolution Pratama Nusantara Ltd, Indonesia
*Corresponding Author
Abstract
The visualization system of nautical charts enhances the safety navigation on sea, particularly in critical areas. Nowadays nautical chart visualization technology considers the benefit of inventive information technology to produce three-dimensional and real-time models which can be easily used. Therefore, this study attempted to develop an Android-based application with Augmented Reality (AR) approach. A digitation of the conventional nautical chart was performed to build a digital nautical chart. This process implemented regulation from United States (US) Chart No. 1 and International Association of Marine Aids to Navigation and Lighthouse Authorities (IALA) Maritime Buoyage System. There are two substantial results of this research: Marine Augmented Reality System (MARS) to display a nautical chart in a three-dimensional form, and Marine Augmented Reality System GPS (MARSGPS) which focuses on integrating the model with its vicinity environment. This brings users to better acknowledge the situation of their environment. The usability test of these products shows that the overall feasibility value is 83.71%. The coordinate accuracy of MARSGPS application has a Root Mean Square Error (RMSE) value of 4.30m, which can be improved through a ground-truth measurement. Nevertheless, this approach provides an essential reference for future research on a three-dimensional nautical chart visualization.
Keywords: Android-based Application, Augmented Reality, Nautical Chart Visualization, Safety of Navigation
1. Introduction
Nautical charts are unique purpose maps specifically designed to meet the requirements of marine navigation, showing, amongst other things, depths, nature of the seabed, elevations, configuration and characteristics of the coast, dangers, routes, maritime limits, and aids to navigation. Therefore, it represents a graphical representation of relevant information for seafarers in terms of planning and executing safe navigation [1]. One crucial factor capable of describing the numerous substantial aspects in the actual condition of a nautical chart is the accuracy of each aspect's coordinates. Moreover, assisting the mariners in discriminating one sea feature from another becomes another point to provide a convenient nautical chart. Those considerations are essential when the ships reach a shallow water area. The definition of shallow water must depend on the characteristic of the local wave. However, according to the Publication of IHO S-44 sixth edition [2], the critical areas of shallow water include harbors, berthing areas, and areas of fairways and channels. A particular harbor that is specialized for the trading area, port, is described further as a location on a coast or shore where ships can dock and transfer people or cargo to and from land [3] and [4].
Generally, it is described as a location in a town or city with a harbor or access to navigable water where ships load or unload [5]. In practice, these various facilities are displayed on a digital nautical map that, in real-time, shows the direction and location through the ship's monitor, Electronic Chart Display Information System (ECDIS). Following IHO Publication S-57 [6], this device displays two-dimensional water areas, so it still requires intuition for seafarers to understand the location of the ship's presence and ensure obstacles in shipping safety. The location of this research, the Madura Strait, is a semi-enclosed sea that separates the island of Java from the island of Madura [7].
Geographical conditions indicate the strait as a vital water area with various loading and unloading activities to meet market demand in eastern Java and eastern Indonesia.
According to the function of strategic water areas, there are various port terminals, such as Lamong Bay Terminal, Gresik Petrokimia Terminal, and the Surabaya Tanjung Perak Port area. In addition, there is also a reasonably busy sea transportation route known as the West Surabaya Shipping Line [8] and [9]. The density of ship traffic requires good navigational aids to reduce the risk of accidents around the waters. Based on Law no. 17 of 2008 [10] concerning shipping, navigation is the process of directing the motion of a ship from one point to another safely and smoothly and avoiding hazards and obstacles to shipping. Meanwhile, according to Government Regulation no. 5 of 2010 concerning navigation, shipping navigational aids are equipment or systems outside the ship that are designed and operated to improve the safety and efficiency of navigating ships and ship traffic. The digital navigation devices can be improved by displaying shipping lanes in 3D form in accordance with the 2018 IHO S-100 Publication [11]. In addition, various technologies in the industrial era 4.0 support the improvement of the quality of digital marine maps such as artificial intelligence, geo-big data, cyber- security, and autonomous ships. Augmented Reality (AR) itself is a technological development that can display an object generated from a virtual computer to a real-world environment in real-time. By combining this technology with location information using Global Positioning System (GPS), a Three-Dimensional (3D) and real-time visualization model will be obtained. In the study of Boghosian, et al [5], AR technology has been developed in the field of Geographical Information System (GIS). Meanwhile, in the field of shipping safety, there is an integration system between Augmented Reality (AR) and ship GPS called the Automated Identification System (AIS) [12].
Therefore, in this study, an Android-based application will be built by utilizing AR technology to support shipping navigation safety, especially in the Madura Strait area, East Java, Indonesia. The AR system developed using Unity3D software will later display 3D objects following the provisions of the international buoy system. It will then be tested using an assessment research method to users through questionnaires for the feasibility level based on the usability test results under the feasibility category table.
2. Material and Methods
The basis of this research uses data in the form of a marine map, namely the National Sea Map Sheet Number 84 of 2016 [13], scale 1:12500, which is located in the waters of the Madura Strait, more precisely around Lamong Bay with an area of about 134 Km2. The coordinate limits of the research area are 7°8â²17.42" - 7°13â²38.64" S and 112°38â²47.81" - 112°46â²11.54"E as shown in Figure 1.
Figure 1: Lamong Bay as research area
Figure 2: Sea features digitalization process
In addition, the 2018 National Bathymetry Map (BATNAS_110E-115E_10S-05S_MSL-v1.5) was used to support the representation of the subsurface waters. The following process is building a 3D model using SketchUp software considering the United States (US) Chart No. 1 and International Association of Marine Aids to Navigation and Lighthouse Authorities (IALA) Maritime Buoyage System to represent the chart features differently from one another. In addition, national bathymetry maps also require transformation or modeling into 3D form to support the overall 3D modeling. This digitization process uses the Delaunay triangulation principle [12] and [14].
The initial step is to digitalize the nautical chart features that support safety of navigation, such as buoys, sea frame beacons, berth areas, and fishing areas (Figure 2). The following process is building a 3D model which considers the US Chart No. 1 and IALA Maritime Buoyage System to represent the chart features differently from one to another. In addition, national bathymetry maps also require transformation or modeling into 3D form to support the overall 3D modeling.
Some initial settings are executed to support the 3D modeling process and the creation of Augmented Reality AR, which consist of 1) Compiling the Unified Modeling Language (UML) based on IHO S-100, 2) creating an AR Marker in the form of a Quick Response (QR) Code, 3) accessing Vuforia, an AR service, to get the detection value from the QR Code, license manager, and database manager, and 4) setting the device Unity3D software includes inserting a license manager and database manager, as well as changing the platform to Android. Then, the 3D modeling results of each of these features need to be arranged by considering the scale of the model and referring to the 8 Golden Rules in User Interface/User Experience (UI/UX) design [15] and [16]. The process of developing the UI/UX design produces a 3D model that is adapted to a smartphone display. The results are then exported into *.apk file format with the name Marine Augmented Reality System (MARS) so that it can be installed and operated using an Android-based smartphone device. To assess the function, application effectiveness, and user satisfaction, a usability test with a weighted value is a necessary. The weighted value is classified into five different number based on Likert Scale, as shown in Table 1 [17]. Calculating the feasibility application in percent (%) is based on the Nielsen equation [18] with the classification of the results of the feasibility value based on Likert [17]. Data was collected in this usability test according to Table 1. Suppose the results show a value of less than 60% or less than the appropriate category.
Table 1: Weighted value
Category |
Score |
Term |
A |
5 |
Strongly Agree |
B |
4 |
Agree |
C |
3 |
Undecided |
D |
2 |
Disagree |
E |
1 |
Strongly Disagree |
Table 2: Feasibility classification
Percentage (%) |
Feasibility Level |
0.00 - 19.99 |
Very Inappropriate |
20.00 - 39.99 |
Inappropriate |
40.00 - 59.99 |
Sufficient |
60.00 - 79.99 |
Appropriate |
80.00 - 100.00 |
Very Appropriate |
In that case, it will return to the 3D modeling process by considering user input through the questionnaire results. So that the results will be obtained in the form of the appropriate android based MARS.apk and MARSGPS.apk applications. Determining the percentage of aspects and usabilityâs value are described in Equation 1 and Equation 2 as follows:
Equation 1
Equation 2
where ais the learnability aspect, b is the flexibility aspect, c is the effectiveness aspect, d is the Attitude aspect, and xi is the amount of the I successful respondents, xi =[0,1, â¦, n]. Table 2 shows the usability level classification of the AR application. Then the coordinate accuracy of the models and the real-time location need to be calculated using Root Mean Squared Error (RMSE), which can be seen in the Equation 3 below: [19] and [20]:
Equation 3
where xdis x coordinate in nautical chart, yd is y coordinate in nautical chart, xc is x coordinate from Global Navigation Satelite System (GNSS) measurement, yc is y coordinate from GNSS measurement, and n is number of samples. In this research, the validation data was collected from coordinates in a public domain imagery data. It might affect the coordinate validation process then. Base on the digitation process as shown in Figure 2 there are two types of features in the area of interest which are point and area. The number of each object which are digitized in the Surabaya Tanjung Perak Port area can be seen at Table 3.
3. Results and Discussion
In this section, the results of each process will be explained. Various discoveries in every process point will be discussed, including digitalizing features, three-dimensional (3D) modeling, the application, and the usability test for users.
3.1 Digitized Features
The initial step utilized as a base of the next step is the digitized features. Information on each feature on the marine map is shown in Table 3 and Table 4. The feature numbers result from the digitization process of the National Nautical Chart number 84 of 2016, particularly in the research area. All features are located in the Surabaya West Shipping Channel and are spread around ports along the channel, such as Lamong Bay Terminal.
Table 3: Digitation results summary
Features |
Size / Amount |
Feature Categories |
Buoy |
35 pieces |
Point |
Beacon |
19 pieces |
Point |
Wreck |
1 piece |
Point |
Lighthouse |
1 piece |
Point |
Dangerous Wreck |
15 pieces |
Point |
Sinking Wreck |
8 pieces |
Point |
Berthing Area |
2.710 Km 2 |
Area |
Fishing Area |
2.008 Km 2 |
Area |
Table4: Feature information in the nautical chart
3.2 Augmented Reality (AR)
Three-dimensional modeling is a crucial stage in building AR because it will determine the level of clarity of the information presented in nautical charts.Table 5 provides an overview of some features in the 3D modeling process, namely, buoy categories and lighthouses. This modeling process considers the provisions of the IALA Maritime Buoyage System NP735 edition 5 of 1994 concerning the Combined Cardinal and Lateral System and the U.S. Chart Number 1. In addition, 3D modeling also references Tritschler's research [21] to complete the dimensions of each feature. This case is determined due to the National Nautical Chart's limitations in the featureâs height dimension.
3.3 Augmented Reality
Building Augmented Reality (AR) begins with designing the User Interface (UI). The design should
include essential parts such as Main Menu, Feature Models, and the About tab. Furthermore, it needs a UX design prepared using Unity3D software to complete the application. The process designs specific sections, for instance, AR Scene and Simulation, or the UI main parts. Moreover, the based-location element of the application should be designed with GNSS assistance, for example, Location Info, Latitude, Longitude, and many more.
Table 5: Three-Dimensional modelling feature results
The results of the AR technology implementation are two mobile-android-based applications, namely MARS and MARSGPS. The MARS application uses a QR Code to start the visualization, registered in Vuforia software earlier (Figure 3). Using image tracking, users can interact with the 3D model by zooming in or out and rotating clockwise or counterclockwise in real-time by adjusting the scale in the bottom right corner. Also, the users can return to the main menu with the back button in the upper left corner. Figure 4 Visualizes the 3D model from the image-based MARS application by scanning the QR Code.
In addition, some sea features happen as coordinate verification between the actual condition and the resulting model. Actual coordinates in this research are not measured but observed through remote sensing secondary data from a public domain imagery. This raises awareness that it could be one of the weaknesses. Furthermore, this condition recommends that future research using actual, or ground truth measurements decrease the deviation in centimeters. Table 6 shows the difference between the actual and the model coordinate on some pointed navigation features, namely, buoy categories and a lighthouse, as the several 3D models on Table 5.
For the MARSGPS application, the 3D model will be displayed on the smartphone screen and the surrounding environment in real time. Therefore, the actual model location could also be presented through the application. The real-time segment of the model as well as implemented when rotating the device. The visibility rangeâs result shows all the features within the nautical chart's actual range. Figure 5 shows that the MARSGPS application is carried out in the Department of Geomatics Engineering of ITS's field according to the coordinates entered in the 3D model display. The users could customize the modelâs placement regarding the area.
The displayed 3D objects will shift following the updated position because the MARSGPS application is integrated with the smartphone's GNSS. There are some limitations due to the smartphoneâs GNSS precision [22] and [23]. Thus, the precision of location determination can range from 2 to 5 meters in good conditions and weather, and in certain conditions, it possibly ranges from 10 to 20 meters [24]. Table 7 below describes the resultâs differences between MARS and MARSGPS according to several categories.
Figure 3: QR code according to Vuforia software
Figure 4: MARS visualization result after scanning the QR code
Table 6: Comparison between the actual and model coordinates
Features |
Actual Coordinate |
Model Coordinate |
||
Latitude |
Longitude |
Latitude |
Longitude |
|
Buoy Spherical Special Purpose |
-7.28009° |
112.79473° |
-7.28011° |
112.79473° |
Buoy Barrel Safe Water |
-7.28010° |
112.79491° |
-7.28013° |
112.79489° |
Buoy Pillar North Cardinal |
-7.28032° |
112.79469° |
-7.28035° |
112.79469° |
Lighthouse |
-7.28025° |
112.79496° |
-7.28025° |
112.79495° |
Table 7: Comparison between the result applications
Categories |
MARS |
MARSGPS |
Format |
*.apk |
*.apk |
Size |
127 megabytes |
55 megabytes |
Minimum Specifications |
Android 7.1 Nougat (API Level 25) |
Android 7.1 Nougat (API Level 25) and Support ARCore |
Figure 5: (a) MARSGPS Application presenting the location information and (b)three-dimensional modelling
Table 8: Learnability aspects
Code |
Statement |
Percentage (%) |
A1 |
The MARS app is easy to learn and use |
89.47 |
A2 |
The existing MARS module is very helpful in running this application |
89.47 |
A3 |
Experience in using other applications can be applied to the MARS application, because the buttons and icons used are good and familiar |
90.53 |
A4 |
The font used in the MARS application interface is consistent |
86.32 |
A5 |
Phrases or language used in every word and sentence can be accepted and understood |
86.32 |
Table 9: Flexibility aspects
Code |
Statement |
Percentage (%) |
B1 |
The application can be used by users of all ages |
71.58 |
B2 |
Applications can be used as learning media anywhere and anytime |
85.26 |
3.4 Usability Test Result
The statistical analysis method used is frequency analysis using a Likert scale, which calculates the percentage of 1 (strongly disagree) to 5 (strongly agree) selected by respondents for each statement. Furthermore, every statement in this test is described by some unique code to identify each other. Each statement in the questionnaire is classified based on the usability aspects and given a value according to the calculation of the Likert scale frequency analysis. Those groups include learnability, flexibility, effectiveness, and attitude aspect. The learnability aspect is related to the ease with which users can solve the fundamental problems they experience and are easy to understand. The flexibility aspect relates to the availability of existing features on the system for users. The effectiveness aspect is related to the success of achieving the goal of using the application. The result of the analysis can advise the developer to improve the application. Tables 8 to 11 show the result for each aspect, and Table 12 gives information about the conclusion of the statistical analysis based on the average calculation of each usability aspect which sample participated by a total of 19 respondents. It can be ensured that the respondents have an understanding and background in mapping or 3D modeling.
Table 10: Effectiveness aspects
Code |
Statement |
Percentage (%) |
C1 |
The menus in the MARS application are able to reveal data on the Marine Map |
83.16 |
C2 |
Information on the MARS application makes it easy |
91.58 |
C3 |
It doesn't take long to find out where the object is according to the Nautical Chart |
84.21 |
Table 11: Attitude aspects
Code |
Statement |
Percentage (%) |
D1 |
The colour composition used in the MARS application is good |
77.89 |
D2 |
The MARS app is interesting and fun |
83.16 |
D3 |
MARS application provides additional knowledge about Augmented Reality-based 3D maps |
91.58 |
D4 |
Would suggest others to use the MARS app |
85.26 |
Table 12: Average result of each aspects
Learnability (%) |
Flexibility (%) |
Effectiveness (%) |
Attitude (%) |
85.61 |
78.42 |
86.32 |
84.47 |
The usability test result is 83.71%, referring to the average value of each aspect of the test. According to Table 2, the usability test final value of the MARS application is in the "Very Appropriate" category. However, further development still needs to be improved to get optimal results. Furthermore, the coordinate accuracy is determined through RMSE using Equation 3 above. The results show that the MARSGPS has an RMSE value of 4.30m, which can be categorized as fair value as remembered. The built application type in this research is an early version of the AR technology implementation. Therefore, it is necessary to improve accuracy by using real-time validation data and through excellent smartphone GNSS accuracy.
4. Conclusion
This research produces two android-based applications by considering AR technology for nautical chart visualization. The two applications include MARS, using an image-based system, and MARSGPS using the GPS feature on a mobile phone. The MARS application requires input in the form of a QR Code to display a 3D marine map by prioritizing the accuracy of navigational aids for shipping safety. Meanwhile, the MARSGPS application focuses on building 3D modeling of shipping safety features and their relationship to the surrounding environment. Both applications go through usability tests to determine the level of comfort and suitability for the user. The test results show 83.71%, categorized as a "Very Appropriate" application. According to the accuracy test of the model coordinate through the RMSE test, which is 4.30m, the improvement should be taken to increase both MARS and MARSGPS quality by reducing the error of using a real-time GNSS measurement and employing a better GNSS accuracy of the smartphone. Nevertheless, the applications present a significant step for the future three-dimensional nautical chart visualization system.
Acknowledgements
The authors acknowledge Directorate of Research and Community Service, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia for supporting this research. The authors are also grateful to the Geospatial Information Agency of Indonesia (BIG) and the Center for Hydrography and Oceanography of the Indonesian Navy (Pushidrosal) for supporting the data.
References
[1] International Hydrographic Organization. (2018). S-66: Facts about Electronic Charts and Carriage Requirements . International Hydrographic Bureau, Monaco. 1-42. https://iho.int/en/standards-and-specifications.
[2] International Hydrographic Organization. (2020). S-44 6th Edition: IHO Standards for Hydrographic Surveys. International Hydrographic Bureau, Monaco. [Online] https://iho.int/en/standards-and-specifications.
[3] Aqmarina, A. and Achjar, N., (2017). Determinants of Port Performance - Case Study of 4 Main Ports in Indonesia (2005-2015). Economics and Finance in Indonesia , Vol. 63(2). https://scholarhub.ui.ac.id/cgi/viewcontent.cgi?article=1058&context=efi.
[4] Roa, I., Peña, Y., Amante, B. and Goretti, M., (2013). Ports: Definition and Study of Types, Sizes and Business Models. Journal of Industrial Engineering and Management , Vol. 6(4). http://dx.doi.org/10.3926/jiem.770.
[5] Boghosian, A. L., Pratt, M. J., Becker, M. K., Cordero, S. I., Dhakal, T., Kingslake, J., Locke, C. D., Tinto, K. J. and Bell, R. E., (2019). Inside the Ice Shelf: Using Augmented Reality to Visualize 3D Lidar and Radar Data of Antarctica. Photogrammetric Record, Vol. 34(168), 346-364. https://doi.org/10.1111/phor.12298.
[6] International Hydrographic Organization. (2000). S-57: Transfer Standard for Digital Hydrographic Data. International Hydrographic Bureau, Monaco. [Online] https://iho.int/en/standards-and-specifications. [Accessed Nov 11, 2021]
[7] Denny, N. S., (2009). Kajian Kondisi Hidrodinamika (Pasang Surut, Arus, dan Gelombang) di Perairan Grati Pasuruan, Jawa Timur. Jurnal Ilmu Kelautan , Vol. 14(2), 66-75. https://ejournal.undip.ac.id/index.php/ijms/article/view/303/207.
[8] Pratomo, D. G. and Hutanti, K., (2019). Analisis Pola Sebaran Sedimen Untuk Mendukung Pemeliharaan Kedalaman Perairan Pelabuhan Menggunakan Pemodelan Hidrodinamika 3D (Studi Kasus: Pelabuhan Tanjung Perak, Surabaya). Geoid, Vol. 14(2). http://dx.doi.org/10.12962/j24423998.v14i2.3938.
[9] Amelia, P., Lathifah, A. and Yasa, I. N. A., (2021). Analysis of the Impact of Maritime Sector Development in Supporting Indonesian Navy Ship Operations. Procedia Computer Science, Vol 197. https://doi.org/10.1016/j.procs.2021.12.14.
[10] Law No. 17 year of 2008 Concerning Shipping. (2008). Jakarta, Indonesia: Central Government of Indonesia. [Online]. https://mahpel.dephub.go.id/.
[11] International Hydrographic Organization (IHO). (2022). S-100: Universal Hydrographic Data Model . International Hydrographic Bureau, Monaco. [Online]. https://iho.int/en/standards-and-specifications. [Accessed Nov 11, 2021].
[12] Schwab, A. and Lunze, J. A., (2021). Distributed Algorithm to Maintain a Proximity Communication Network Among Mobile Agents Using the Delaunay Triangulation. European Journal of Control, Vol. 60. https://doi.org/10.1016/j.ejcon.2021.04.006.
[13] Pusat Hidrografi dan Oseanografi TNI AL (Pushidrosal). (2016). Peta Laut Nomor 84: Pelabuhan Surabaya dan Gresik (National Nautical Chart number 84).
[14] Abedi, M., (2020). A Focused and Constrained 2D Inversion of Potential Field Geophysical Data through Delaunay Triangulation, A Case Study for Iron-Bearing Targeting at The Shavaz Deposit in Iran. Physics of the Earth and Planetary Interiors , Vol. 309. https://doi.org/10.1016/j.pepi.2020.106604.
[15] Bessghaier, N., Soui, M. and Ghaibi, N., (2022). Towards the Automatic Restructuring of Structural Aesthetic Design of Android User Interfaces. Computer Standards & Interfaces, Vol. 81. https://doi.org/10.1016/j.csi.2021.103598.
[16] Zaina, L. A. M., Fortes, R. P. M., Casadei, V., Nozaki, L. S. and Paiva, D. M. B., (2022). Preventing Accessibility Barriers: Guidelines for Using User Interface Design Patterns in Mobile Applications. Journal of Systems and Software , Vol. 186. https://doi.org/10.1016/j.jss.2021.111213.
[17] Likert, R., (1932). A Technique for Measurement of Attitudes. Archives of Psychology, Vol. 140. New York University.
[18] Nielsen, J., (1994). Usability Inspection Methods. New York, NY: John Wiley and Sons.
[19] Pratomo, D. G., Froditus, N. O. E. and Pribadi, C. B., (2019). Simulasi Tiga Dimensi Pola Arus dan Distribusi Sedimen di Perairan Cilacap sebagai Evaluasi Terhadap Kondisi Dermaga. Geoid, Vol. 14(2). http://dx.doi.org/10.12962/j24423998.v14i2.3943.
[20] Subotin, M., MirkoviÄ, S., Gazivoda, N., PejiÄ, D., Rekar, M. and AntiÄ, B., (2022). The Impact of the Conversion Starting Threshold on the Estimation of the RMS Value. Microprocessors and Microsystems , Vol. 93. https://doi.org/10.1016/j.micpro.2022.104595.
[21] Templin, T., Popielarczyk, D. and Gryszko, M. (2022). Using Augmented and Virtual Reality (AR/VR) to Support Safe Navigation on Inland and Coastal Water Zones. Remote Sensing, Vol. 14(6). https://doi.org/10.3390/rs14061520.
[22] Khomsin, Anjasmara, I. R., Pratomo, D. G. and Ristanto, W., (2019). Accuracy Analysis of GNSS (GPS, GLONASS and BEIDOU) Observation for Positioning, E3S Web of Conferences, Vol. 94. https://doi.org/10.1051/e3sconf/20199401019.
[23] Khomsin, Pratomo, D. G., Anjasmara, I. M. and Ahmad, F. (2019). Analysis of the Volume Comparation of 3âS (TS, GNSS and TLS). E3S Web of Conferences . Vol. 94. https://doi.org/10.1051/e3sconf/20199401014.
[24] Li, Y., (2021). Analysis of GAMIT/GLOBK in High-Precision GNSS Data Processing for Crustal Deformation. Earthquake Research Advances , Vol. 1(3). https://doi.org/10.1016/j.eqrea.2021.100028.
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