qsp-orientation¶
Orientation, attitude, and motion-estimation tools for quaternionic sensor and navigation workflows.
What it is¶
qsp-orientation provides tools for estimating and tracking orientation, attitude, and motion using quaternionic representations. It is designed for workflows that fuse sensor data (such as IMU, magnetometer, or GPS) into stable orientation estimates.
Why it exists¶
Quaternions are the natural representation for 3D orientation: they avoid gimbal lock, support smooth interpolation, and compose efficiently. qsp-orientation provides estimation algorithms and sensor fusion tools that operate natively in quaternion space, using the types defined in qsp-core.
Key responsibilities¶
- Attitude and orientation estimation algorithms
- Sensor fusion for multi-axis inertial, magnetic, and positional data
- Quaternion-based motion integration and propagation
- Interpolation and smoothing of orientation trajectories
Typical users¶
- Navigation engineers building quaternionic attitude reference systems
- Robotics and UAV engineers requiring stable orientation estimates
- Researchers working on quaternionic sensor fusion algorithms
- Signal processing engineers tracking platform orientation for antenna or sensor alignment
Example use cases¶
- Estimating platform attitude from a 6-DOF IMU data stream
- Fusing magnetometer and accelerometer data into a continuous orientation estimate
- Smoothing a GPS/IMU orientation trajectory for post-processing
Relationship to other QSP packages¶
qsp-orientation depends on qsp-core. It commonly ingests data preprocessed by qsp-filter and may output orientation estimates used by other application-layer tools.
Status¶
Core estimation algorithms are the primary focus. Future expansion may include additional filter types (e.g., EKF, UKF variants), tighter integration with real-time sensor interfaces, and support for more sensor modalities.