AHRS: Attitude and Heading Reference Systems |
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AHRS: Attitude and Heading Reference Systems#
Welcome! ahrs is an open source Python toolbox for attitude estimation using the most known algorithms, methods and resources. It is designed to be flexible and simple to use, making it a great option for fast prototyping, testing and integration with your own Python projects. This package collects functions and utilities to help you understand and use the most common techniques for attitude estimation, and in no way it is recommended to be used commercially. All algorithms and implementations have their proper documentation and references, in case you need further clarification of their usage. New in version 0.3#The World Magnetic Model (WMM) is fully implemented. It can be used to estimate all magnetic field elements on any given place of Earth for dates between 2015 and 2025. The ellipsoid model of the World Geodetic System (WGS84) is included. A full implementation of the Earth Gravitational Model (EGM2008) is NOT available here, but the estimations of the main and derived parameters of the WGS84 using the ellipsoid model are carried out. The International Gravity Formula and the EU鈥檚 WELMEC normal gravity reference system are also implemented. New class DCM (derived from numpy.ndarray) for orientation/rotation representations as 3x3 Direction Cosine Matrices. New class QuaternionArray to simultaneously handle an array with more quaternions at once. New submodule frames to represent the position of an object in different reference frames. Metrics for rotations in 3D spaces using quaternions and direction cosine matrices. New operations, properties and methods for class Quaternion, now also derived from numpy.ndarray. A whole bunch of new constant values (mainly for Geodesy) accessed from the top level of the package. Docstrings are improved with further explanations, references and equations whenever possible. New and improved estimators include a short, but clear documentation with references. Many use different sensor arrays. The available algorithms are: Algorithm Gyroscope Accelerometer Magnetometer AQUA Optional YES Optional Complementary YES YES Optional Davenport鈥檚 NO YES YES EKF YES YES YES FAMC NO YES YES FLAE NO YES YES Fourati YES YES YES FQA NO YES Optional Integration YES NO NO Madgwick YES YES Optional Mahony YES YES Optional OLEQ NO YES YES QUEST NO YES YES ROLEQ NO YES YES SAAM NO YES YES Tilt NO YES Optional TRIAD NO YES YES Deprecations#Submodules io and plot are dismissed, removing dependecies on Scipy and matplotlib. This decision was made with the intent to better focus on the algorithmic part of the package. Loading and visualizing the data is left to the preference of the user. |
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