Sven Rebhan
Papers
1
Total Citations
26
H-Index
1
About
Sven Rebhan is a researcher whose work lies at the intersection of computer vision, robotics, and autonomous systems. His key contributions focus on enabling mobile robots to perceive and interact with dynamic environments. In his most-cited work, "Estimating Object Proper Motion Using Optical Flow, Kinematics, and Depth Information" (2008, 26 citations), Rebhan developed a system that allows a walking or head-turning robot to estimate the motion of objects in its surroundings. By fusing depth data from a stereo camera with camera movement computations, his approach enables robots to distinguish between self-induced motion and true object movement—a fundamental challenge in autonomous navigation. This work has been influential in advancing real-time perception for mobile robotics, providing a foundation for subsequent research in dynamic environment interaction. Rebhan’s contributions demonstrate a practical, systems-level approach to integrating kinematic and visual information, making his research valuable for engineers and scientists developing robots capable of operating in unpredictable, human-centered spaces.
Research Focus
Key Achievements
Top Papers
- 1