In addition to IMUs and UWB, integrating the following sensor modalities can further improve the robustness and accuracy of pose estimation:
Depth Cameras: Depth cameras like Microsoft Kinect or Intel RealSense can provide detailed 3D information about the environment and aid in better understanding the spatial relationships between objects and the user.
Pressure Sensors: Pressure sensors integrated into wearable devices can help in detecting interactions with surfaces or objects, providing additional context for pose estimation.
Vision-based Systems: Incorporating cameras for visual data can offer complementary information to IMUs and UWB, enabling the system to validate and refine pose estimates based on visual cues.
Inertial Measurement Systems: Including additional sensors like magnetometers or barometers can enhance the accuracy of orientation estimation and compensate for drift in IMU data.
By fusing data from multiple sensor modalities, the system can leverage the strengths of each sensor type to improve overall pose estimation performance.