The Coordinate Transformation Method and Accuracy Analysis in GPS Measurement

Yuan, Debao; Cui, Ximin; Wang, Shengyao; Yahui, Qiu; Guo, Wei; Jin, Jingjing

doi:10.1016/j.proenv.2012.01.271

Cited by 4 publications

(2 citation statements)

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“…Then, the geodetic system can be converted to the cartesian coordinate system using Equation ( 1) [38]: -…”

Section: Cartesian Coordinate Systemmentioning

confidence: 99%

Augmented Reality – Cockpit Display System In Real-Time Flight Simulation Environment

Pradhan¹

2023

Preprint

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<p> Over recent years, hands-free Augmented Reality (AR) technologies are widely being used towards equipment manufacturing and maintenance services in various engineering platforms. One of such applications discussed in this report is an Electronic Flight Instrument System (EFIS)/glass cockpit/Cockpit Display System (CDS), in AR, for real-time testing during the early designs of an aircraft’s flight deck. Two prototype designs, both built using the Buildwagon HoloLens Development Platform and tested on Microsoft HoloLens 1 headset using X-Plane 11 flight simulator for flight tests, are presented. For the presented project, several flight data, as well as any other simulation data, were sent to BinariesLid’s Buildwagon Collaboration Server in the form of messages using the Socket.IO library via the Internet. These messages were processed and used to redraw the EFIS on Buildwagon JavaScript Editor. This thesis presents the design methodology and performance benchmarks of the systems involved during the flight test, i.e. HoloLens 1 AR headset, Buildwagon Emulator, and the simulator system itself. </p>

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“…Then, the geodetic system can be converted to the cartesian coordinate system using Equation ( 1) [38]: -…”

Section: Cartesian Coordinate Systemmentioning

confidence: 99%

Augmented Reality – Cockpit Display System In Real-Time Flight Simulation Environment

Pradhan¹

2023

Preprint

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“…Accordingly, such a system enables performing actual computations and analyses that mimic the real surface of the earth, depending on any available source of spatial information. Thus, WGS84, which is the most recent version of the system, is a major reference for use in geodesy, cartography, and space navigation techniques, including GPS [3]. Often, we use a local system to collect data in a field or a tool system, so-called screen system, to collect and interpret data from images.…”

Section: Introductionmentioning

confidence: 99%

Image Georeferencing using Artificial Neural Network Compared with Classical Methods

Din

2021

eijs

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Georeferencing process is one of the most important prerequisites for various geomatics applications; for example, photogrammetry, laser scan analysis, remotely sensing, spatial and descriptive data collection, and others. Georeferencing mostly involves the transformation of coordinates obtained from images that are inhomogeneous due to accuracy differences. The georeferencing depends on image resolution and accuracy level of measurements of reference points ground coordinates. Accordingly, this study discusses the subject of coordinate’s transformation from the image to the global coordinates system (WGS84) to find a suitable method that provides more accurate results. In this study, the Artificial Neural Network (ANN) method was applied, in addition to several numerical methods, namely the Affine divided difference, Newton’s divided difference, and polynomial transformation. The four methods were modelled and coded using Matlab programming language based on an image captured from Google Earth. The image was used to determine reference points within the study area (University of Baghdad campus). The findings of this study showed that the ANN enhanced the results by about 50% in terms of accuracy and 90% in terms of homogeneity, compared with the other methods.

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