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.

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

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

3D orientation estimation using a quaternion based UKF, a Madgwick filter, and other methods

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)