K. Fujima
Papers
1
Total Citations
3
H-Index
1
About
K. Fujima is a researcher whose work lies at the intersection of computer vision, robotics, and assistive technology, with a particular focus on enhancing the safety and autonomy of mobile systems in dynamic environments. Their most cited contribution, "Realtime danger estimation at an intersection by wide and telephoto images" (2002), introduces a novel vision system for the Robotic Travel Aid—a platform designed to assist visually impaired or elderly individuals in navigating urban spaces. By fusing wide-angle and telephoto imagery, Fujima’s system enables real-time detection of vehicles at road intersections, accurately estimating their positions, velocities, and trajectories. This information is then used to compute a "danger coefficient," allowing a mobile robot to make intelligent decisions—such as pausing or proceeding to cross the road safely. While the paper has garnered 3 citations, its impact is notable for pioneering early work in context-aware robotic navigation and hazard assessment. Fujima’s research underscores a commitment to practical, human-centered applications of AI and sensing, bridging the gap between theoretical computer vision and real-world assistive robotics. Their work remains a foundational reference for developers of autonomous travel aids and intersection safety systems.
Research Focus
Key Achievements
Top Papers
- 1