・ In-pixel analog memory array and sub-frame integration ・Frame rate : -10kfps*1, Depth noise : <1.3%*2 *1 at HS mode *2 at HP mode, 0.4-4.2m
・ Recently, ToF sensors that can measure the distance from an object are attracting attention in various fields such as automobiles, robots, and sensor. ・ However, conventional ToF sensors have a issue that it is difficult to improve both characteristics because there is a trade-off between frame rate and depth noise. ・ Therefore, this work has successfully solved the above issue by with in-pixel analog memory array for each image sensor and sub-frame integration. ・ This work achieved up to 10kfps at HS mode and depth noise is less than 1.3% at HP mode(0.4-4.2 m). ・ This work shows higher characteristics than conventional ToF sensors, and therefore, it is expected to be applied to autonomous driving sensors, autonomous running robots, factory automation (FA), drones, VR/AR, etc.
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The revenue generated from technology transfer is reinvested as new research funding for universities and researchers, and is utilized to create further research outcomes. To ensure the smooth operation of this cycle, known as the "Intellectual Creation Cycle," we will vigorously promote technology transfer. The types of seeds we handle include patents, know-how, databases, and programs. We have established a collaborative framework by signing basic technology transfer agreements with the following universities (as of June 1, 2025): Tohoku University, Hirosaki University, Iwate University, Akita University, Fukushima University, Yamagata University, Tohoku Gakuin University, Iwate Medical University, Fukushima Medical University, Aizu University, Miyagi University, Hokkaido University, Muroran Institute of Technology, and Showa Medical University.
