This technology calculates the relative position and orientation between an unmanned vehicle and a docking station by utilizing Angle of Arrival (AOA) and Received Signal Strength Indicator (RSSI) data from wireless communication signals, subsequently generating a docking path to perform autonomous docking.
Existing LiDAR and image processing-based docking methods involve high sensor costs, are sensitive to environmental factors such as lighting, and require significant computing power to process large datasets like point clouds.
This technology measures and filters wireless signals received from the unmanned vehicle at the docking station to derive AOA and RSSI values, determines the direction of movement by calculating changes in measurements over time, and generates a docking path for the unmanned vehicle based on a mathematical formula incorporating predefined gain parameters.
WO2024-123153A1