Yoshitaka Uchida
Papers
1
Total Citations
8
H-Index
1
About
Yoshitaka Uchida is a researcher in computer vision and robotics, with a focus on 3D perception and sensor fusion. His key research areas include stereo vision, range imaging, and the development of robust perception systems for autonomous navigation. Uchida’s major contribution is a method that fuses binocular and motion stereo measurements using a fisheye stereo camera, enabling high-accuracy range image generation. This work addresses the inherent limitations of each stereo technique—binocular stereo’s narrow baseline and motion stereo’s dependency on camera movement—by combining their strengths. The resulting approach improves depth estimation in challenging environments, such as those with low texture or dynamic scenes. His most-cited paper (2020, 8 citations) demonstrates this fusion technique and has been influential in advancing practical stereo vision systems. Uchida’s research is notable for its application in real-world robotics, where accurate and reliable depth perception is critical. His work continues to impact the development of more resilient and precise 3D sensing technologies.
Research Focus
Key Achievements
Top Papers
- 1