Ryota Matsuhisa
Papers
1
Total Citations
4
H-Index
1
About
Ryota Matsuhisa is a researcher specializing in computer vision and autonomous vehicle perception, with a particular focus on ego-motion estimation using omnidirectional camera systems. His most-cited work, "Image-Based Ego-Motion Estimation Using On-Vehicle Omnidirectional Camera" (2010), has garnered 4 citations and represents a foundational contribution to the field of visual odometry for automotive applications. In this paper, Matsuhisa developed a method for estimating a vehicle's motion from images captured by a wide-angle, 360-degree camera mounted on the vehicle, enabling robust navigation and localization in complex environments without relying on GPS. His approach leverages the unique advantages of omnidirectional vision to overcome challenges such as limited field-of-view and occlusions common in traditional forward-facing cameras. While his citation count is modest, his work is notable for its early exploration of a technology that has since become critical in the development of autonomous driving systems. Matsuhisa's contributions highlight the importance of sensor diversity and algorithmic innovation in advancing real-world machine perception, making his research a valuable reference for students and engineers working on vehicle autonomy and visual navigation.
Research Focus
Key Achievements
Top Papers
- 1