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About

Ralph Seulin is a researcher whose work spans computer vision, robotics, and autonomous systems, with particular expertise in UAV-based surveillance, medical imaging, polarimetric sensing, and 3D digitization. His most widely recognized contribution is a 2015 paper proposing an indoor autonomous patrol and surveillance system using unmanned aerial vehicles, which garnered 50 citations and demonstrated innovative integration of vision-based positioning within multi-component UAV architectures. Earlier in his career, Seulin made meaningful contributions to medical robotics, developing near-infrared imaging and structured light techniques for automated catheter insertion — a clinically significant advance that has attracted 36 citations. His work on polarimetric cameras represents another important thread: his 2016 calibration framework for division-of-amplitude polarimeters (33 citations) and subsequent research on attitude estimation from polarimetric cameras reflect a sustained effort to bring polarization-based imaging into practical robotic navigation and path planning. Rounding out his portfolio, Seulin has explored automated 3D digitization pipelines using robotic arms, view planning algorithms, and multimodal 2D-to-3D registration. Together, these contributions position him as a versatile researcher bridging perception, sensing, and autonomous systems across medical, industrial, and aerial robotics domains.