Yuzuki Mimura

Papers

Total Citations

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About

Yuzuki Mimura is a researcher focused on real-time video processing and embedded systems, with a particular emphasis on video stabilization for autonomous and handheld platforms. Their most-cited work, "Acceleration of video stabilization using embedded GPU" (2022, 4 citations), addresses a critical challenge in robotics and drone technology: eliminating shakiness from video captured by cameras mounted on moving platforms. By leveraging embedded GPU acceleration, Mimura's research enables real-time stabilization—a requirement for autonomous navigation, surveillance, and consumer videography. This contribution is notable for bridging the gap between computational efficiency and practical deployment in resource-constrained environments. While their citation count is still growing, Mimura's work holds significance for applications demanding low-latency, high-quality video correction without relying on cloud processing. Their research aligns with broader trends in edge computing and embedded AI, offering a foundation for future advancements in autonomous systems and handheld camera technologies.