Yugo Nose
Papers
1
Total Citations
32
H-Index
1
About
Yugo Nose is a leading innovator in advanced CMOS image sensor design, with a primary focus on long-range, high-speed 3D time-of-flight (ToF) ranging systems. His most cited work, a 2020 paper, introduces a groundbreaking 1200×900 pixel Geiger-mode avalanche photodiode (GmAPD) sensor capable of achieving 450fps frame rates and an unprecedented 250-meter ranging distance. Nose’s key contribution lies in his development of a direct-indirect-mixed frame synthesis technique, which enables configurable depth resolution down to 10cm—a critical advancement for automotive LiDAR, surveillance, and autonomous robotics. This work, which has garnered 32 citations, demonstrates how to overcome the traditional trade-off between long-range detection and high-resolution 3D imaging. By integrating single-photon avalanche photodiodes (SPADs) into a compact 6µm pixel pitch, Nose has pushed the boundaries of solid-state depth sensing, making high-speed, long-distance 3D vision practical for real-world applications. His research continues to shape the future of intelligent vision systems, where precise, real-time depth mapping is essential for safety and autonomy.
Research Focus
Key Achievements
Top Papers
- 1