A motorized mirror with a camera and ArUco markers automatically aligns to reflect 60 GHz signals around obstacles, achieving about 10 dB average gain over no reflector in indoor tests.
Computer Vision-Aided Reconfigurable Intelligent Surface-Based Beam Tracking: Prototyping and Experimental Results,
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Vision-Based Autonomous MM-Wave Reflector Using ArUco-Driven Angle-of-Arrival Estimation
A motorized mirror with a camera and ArUco markers automatically aligns to reflect 60 GHz signals around obstacles, achieving about 10 dB average gain over no reflector in indoor tests.