Search Results for "radeon-project"

eviltransform is a compact library for converting geographic coordinates between the global WGS-84 system (used by GPS) and the Chinese GCJ-02 system (used by many Chinese map services such as Google Maps China and AutoNavi). The project implements forward and inverse transformations (WGS→GCJ and GCJ→WGS) as well as a higher-precision inverse method (GCJ→WGS exact) that trades speed for sub-meter accuracy, and it includes a utility for computing geodesic distance in meters. It’s implemented (or ported) across many languages and platforms — you’ll find reference implementations in Go, C/C++/Obj-C, Java, JavaScript, Python, PHP, C#, Haskell, Rust, Swift, MATLAB and more — which makes it easy to drop into server, client, or mobile codebases. ...

This project helps to digitize field data for a certain Bird Census method. Namely, bird census based on personal inspection or small (~10 km^2) regions with recording birds' position and behaviour on paper. This project makes it easy to annotate such field data and to make this data available for statistical analysis.

This project hosts the code and the documents which were created by Francesco Montorsi during his PhD at the University of Modena and Reggio Emilia, Italy, about indoor and outdoor localization and navigation techniques. The code (mostly MATLAB code) is publicly available to enable reproducible research.

OpenPMU is a collaborative project developing a software defined Phasor Measurement Unit for Smart Grids and electrical utilities. This project is currently hosted by Queen’s University Belfast.

The purpose of the software is to calculate the undulation between the WGS84 ellipsoid (GPS height) and the EGM96 geoid (mean sea level) in MATLAB, based on the C code in the "egm96-f477.c" project

Our project consist in porting positioning algorithms on a GPU. We will improve programs which are already working on CPU in order to make them compatible with the CUDA technology offered by Nvidia. The advantage of this technology is that it allows us to use massive multithreading and so make calculations go faster. Algorithms will be implemented in C++.