Abstract: A method for searching a path by using a 3D reconstructed map includes: receiving 3D point-cloud map information and 3D material map information; clustering the 3D point-cloud map information with a clustering algorithm to obtain clustering information, and identifying material attributes of objects in the 3D point-cloud map information with a material neural network model to obtain material attribute information; fusing the those map information based on their coordinate information, thereby outputting fused map information; identifying obstacle areas and non-obstacle areas in the fused map information based on an obstacle neural network model, the clustering information, and the material attribute information; and generating 3D path information according to the non-obstacle areas. Since the 3D path information is generated based on those map information, the obstacle areas and flight spaces are effectively determined to generate an accurate flight path.

Abstract: The present invention provides smart bed systems and the operating methods of the smart bed systems. The smart bed systems detect physiological data and sleeping quality with optical fibers which with strong resistance to electromagnetic interference. The smart bed systems do not require the users to wear any wearable devices. The smart bed systems also provide several functions, such as automatic night light, vibration-based alarm, anti-snoring assistance, and scenario-based appliance controls.

Abstract: The present invention provides smart bed systems and the operating methods of the smart bed systems. The smart bed systems detect physiological data and sleeping quality with optical fibers which with strong resistance to electromagnetic interference. The smart bed systems do not require the users to wear any wearable devices. The smart bed systems also provide several functions, such as automatic night light, vibration-based alarm, anti-snoring assistance, and scenario-based appliance controls.