Implemented Unscented Kalman Filter (UKF) for orientation tracking. Sensors fusion of accelerometer, and gyroscope
-
Updated
Mar 24, 2018 - MATLAB
Implemented Unscented Kalman Filter (UKF) for orientation tracking. Sensors fusion of accelerometer, and gyroscope
The vehicle orientation dataset is a large-scale dataset containing more than one million annotations for vehicle detection with simultaneous orientation classification using a standard object detection network.
Track device orientation changes even for devices with orientation-lock turned on.
MPU implemented as a compass compatible with Arduino Framework at C.
Demonstration of Conventional 2 Sensor Attitude Determination using VRML in Simulink
A sensor-driven system for real-time 3D mapping and positional tracking using mobile device accelerometer and gyroscopic data. This project constructs a relative coordinate matrix by integrating motion detection and orientation mapping, enabling precise localization and movement analysis in 3D space.
Implementation of Orientation Tracking algorithm
My Bachelor's thesis on orientation tracking, including source code
A Swift Class to provide real orientation of iOS device from CoreMotion framework
3D orientation estimation using a quaternion based UKF, a Madgwick filter, and other methods
Optimised Orientation Tracking using Riemann Stochastic Gradient Descent (RSGD)
Add a description, image, and links to the orientation-tracking topic page so that developers can more easily learn about it.
To associate your repository with the orientation-tracking topic, visit your repo's landing page and select "manage topics."