Implemented Unscented Kalman Filter (UKF) for orientation tracking. Sensors fusion of accelerometer, and gyroscope
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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
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
Optimised Orientation Tracking using Riemann Stochastic Gradient Descent (RSGD)
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.
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