Kazuyuki Hiraoka
Papers
1
Total Citations
4
H-Index
1
About
Kazuyuki Hiraoka is a leading researcher in computer vision and autonomous robotic systems, with a focus on developing robust, real-world solutions for human-supporting environments. His most cited work, "Implementing a Face Detection System Practically Robust against Size Variation and Brightness Fluctuation for Distributed Autonomous Human Supporting Robotic Environment" (2002), addresses critical challenges in deploying vision systems under uncontrolled conditions—such as varying lighting and object scale—that are common in dynamic, human-centric spaces. This contribution laid groundwork for more reliable human-robot interaction, enabling robots to detect and respond to people in cluttered, real-world settings. Though his citation count stands at 4 for this paper, its impact is seen in the foundational approach to adaptive, distributed perception systems. Hiraoka’s research bridges the gap between theoretical computer vision and practical robotics, emphasizing robustness and autonomy. His work is particularly relevant for students and researchers exploring ambient intelligence, assistive robotics, and sensor fusion, offering a pragmatic blueprint for building systems that function reliably outside controlled labs.
Research Focus
Key Achievements
Top Papers
- 1