orientation_tracking-unscented_kalman_filter

Orientation tracker

An implementation of an Unscented Kalman Filter algorithm for tracking orientation using sensor data from accelerometers and gyroscopes.

Implemented Unscented Kalman Filter (UKF) for orientation tracking. Sensors fusion of accelerometer, and gyroscope

GitHub

62 stars
4 watching
18 forks
Language: Matlab
last commit: over 8 years ago
Linked from 1 awesome list

matlaborientation-trackingsensor-fusionukfunscented-kalman-filter

Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
xu-tianyang/ladcfAn open-source implementation of a visual object tracking algorithm using adaptive correlation filters and spatial feature selection92
awerries/kalman-localizationA MATLAB implementation of a Kalman filter-based localization system for sensor fusion of GPS/INS/compass data92
xu-tianyang/gfs-dcfSoftware implementation of visual object tracking technique with feature selection and filter learning components.58
jeljaik/extended-kalman-filterAn implementation of an extended Kalman filter for estimating dynamic quantities in a single rigid body from distributed measurements.38
amoudgl/mosse-trackerAn implementation of MOSSE tracking algorithm in MATLAB for visual object tracking using adaptive correlation filters.83
karlpauwels/simtrackA framework for detecting and tracking the pose of multiple rigid objects in real-time using computer vision103
sglvladi/trackingxA MATLAB toolkit for multi-target tracking algorithms providing a common framework for prototyping and evaluation.96
vision4robotics/arcf-trackerThis MATLAB implementation provides a robust and accurate tracker for real-time object tracking in aerial videos54
simondlevy/sensorfusionAn implementation of sensor fusion using Kalman filter in MATLAB158
cliansang/positioning-algorithms-for-uwb-matlabMatlab implementation of various positioning algorithms for UWB localization systems92
mayankm96/stereo-odometry-softA MATLAB implementation of visual odometry using Stereo Odometry based on careful feature selection and tracking.201
usnavalresearchlaboratory/trackercomponentlibraryA collection of Matlab functions for simulating and tracking targets in various scenarios.380
eea-sensors/ekfukfA toolbox for building state estimation algorithms using Kalman filters and smoothers.104
rosshartley/invariant-ekfA C++ library for estimating a robot's 3D pose and velocity using a filter that incorporates various sensor data.467
gerhardr/kfusionAn implementation of a real-time 3D surface reconstruction and tracking system using a single camera sensor.194