Miron Zuckerman
Papers
1
Total Citations
2
H-Index
1
About
Miron Zuckerman is a researcher whose work centers on computer vision and robotics, with a particular focus on distance estimation and spatial perception for autonomous systems. His major contribution lies in developing innovative methods for measuring distance from digital cameras to arbitrary objects using pose information—specifically pixel coordinates and camera angles—enabling more accurate and adaptable robotic navigation and object interaction. This approach addresses a fundamental challenge in robotics: reliable distance measurement without specialized hardware. While his most-cited paper, "Distance Estimation to Image Objects Using Adapted Scale" (2017), has garnered 2 citations, it represents a targeted technical contribution to the field. Zuckerman’s work is notable for its practical application in real-world robotic scenarios, offering a cost-effective solution that leverages existing camera systems. His research continues to influence the development of vision-based distance estimation techniques, making him a valuable contributor to the intersection of computer vision and robotics engineering.
Research Focus
Key Achievements
Top Papers
- 1Distance Estimation to Image Objects Using Adapted Scale2 citations · 2017