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.
Joint Beam Management and Relay Selection Using Deep Reinforcement Learning for MmWave UA V Relay Networks,
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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.