Seung-Ho Ok
Papers
2
Total Citations
8
H-Index
2
About
Seung-Ho Ok is a dedicated researcher in the field of computer vision and hardware architecture, with a primary focus on stereo matching processors for real-time embedded systems. His work addresses critical challenges in enabling efficient depth perception for intelligent robots and autonomous vehicles, where minimal hardware resources and low power consumption are paramount. Ok’s key contributions include the development of a modified adaptive support weight algorithm and a disparity search range estimation scheme, which significantly enhance the accuracy and efficiency of stereo matching processors. In a notable 2017 study, he explored the impact of 3D stacking technology and through-silicon vias (TSVs) on the power and area of these processors, demonstrating how advanced integration techniques can optimize performance for embedded applications. While his most-cited paper has garnered 6 citations, Ok’s research is foundational for engineers seeking to balance computational demands with energy constraints in real-time vision systems. His work stands out for its practical focus on hardware-aware algorithm design, making him a valuable contributor to the evolution of autonomous navigation and robotics.
Research Focus
Key Achievements
Top Papers
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