Takahito Nojiri
Papers
1
Total Citations
4
H-Index
1
About
Takahito Nojiri is a researcher at the forefront of robotic inspection and computer vision, specializing in infrastructure maintenance. His work addresses critical challenges in aging civil structures—roads, tunnels, and bridges—by developing automated measurement systems that replace error-prone manual methods. Nojiri’s most cited paper, "Position and Posture Measurements Using Laser Projection Markers for Infrastructure Inspection" (2020), introduces a novel technique combining laser markers with image processing to enable mobile robots to precisely measure their position and orientation during inspections. This innovation directly tackles the limitations of traditional crack gauges, which suffer from human error and slow data collection. By integrating laser projection with robotic platforms, Nojiri has advanced the accuracy and efficiency of structural health monitoring, reducing inspection times while improving measurement reliability. His work is foundational for autonomous infrastructure assessment, with applications in detecting cracks and deformations in hard-to-reach areas. Though early in his career, his contributions are already cited in robotics and civil engineering literature, highlighting their practical impact. Nojiri’s research bridges the gap between theoretical computer vision and real-world infrastructure safety, making him a key figure in the push toward smarter, safer maintenance systems.
Research Focus
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Top Papers
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