Song-Yi Kwon

Papers

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About

Song-Yi Kwon is a leading researcher in advanced radar sensing and indoor environmental mapping, with a primary focus on developing innovative sensor technologies for autonomous navigation and spatial intelligence. Their most influential work, "Dual-Mode Radar Sensor for Indoor Environment Mapping" (2021), which has garnered 24 citations, introduces a groundbreaking dual-mode radar system that leverages a 62 GHz frequency-modulated continuous wave (FMCW) architecture combined with a multiple-input multiple-output (MIMO) antenna array. This contribution is pivotal for enabling high-resolution, real-time mapping of complex indoor spaces, addressing critical challenges in robotics and smart infrastructure. Kwon’s research bridges the gap between theoretical radar design and practical deployment, offering robust solutions for environments where traditional optical sensors fail. By demonstrating the efficacy of their custom-built sensor in generating accurate spatial data, Kwon has set a new standard for indoor mapping technologies. Their work not only advances the field of radar engineering but also holds significant promise for applications in autonomous vehicles, drone navigation, and IoT-enabled smart buildings. With a growing citation footprint, Song-Yi Kwon continues to shape the future of sensing and mapping systems.