Tatsuya Hirayama
Papers
1
Total Citations
2
H-Index
1
About
Tatsuya Hirayama is a robotics researcher specializing in perception systems for tracked mobile platforms, with a particular focus on overcoming visual obstructions in unstructured environments. His work addresses a critical challenge in field robotics: maintaining situational awareness when cameras are partially occluded by the robot's own mechanical components. Hirayama's most cited paper, "Complement Method for Obstructed Area on Images of Multiple Cameras Mounted Behind Crawler Shoe" (2015), introduces an innovative approach that leverages brightness changes and parallax correction to detect and compensate for covered areas in multi-camera systems. This method operates without requiring a common field of view between cameras, making it particularly valuable for compact robotic platforms like the FMT (RT-04) crawler. While his citation count remains modest at 2, the practical significance of his work lies in enabling safer teleoperation and autonomous navigation for tracked vehicles in debris-filled or hazardous terrains. Hirayama's contributions represent an important step toward more robust visual perception for rescue and inspection robots operating in confined spaces where traditional camera placement is constrained.
Research Focus
Key Achievements
Top Papers
- 1