Valerii Karapetian
Papers
1
Total Citations
5
H-Index
1
About
Valerii Karapetian is a researcher specializing in computer vision and underwater robotics, with a focus on enhancing autonomous systems for aquatic environments. His work centers on the detection, recognition, and localization of objects in challenging underwater conditions, where visibility and environmental constraints pose significant hurdles. In his most-cited paper, "Detection and Recognition of the Underwater Object with Designated Features Using the Technical Stereo Vision System" (2023, 5 citations), Karapetian addresses these challenges by developing a stereo vision system that leverages depth perception to identify objects with specific features. This contribution is critical for advancing autonomous underwater vehicles (AUVs) in applications like marine exploration, environmental monitoring, and search-and-rescue operations. By integrating stereo imaging with algorithmic recognition, his research improves the reliability of object identification under turbid or low-light conditions. While his citation count is modest, the work represents a foundational step in practical underwater vision systems, with potential for significant impact as the field grows. Karapetian’s achievements highlight a commitment to solving real-world problems at the intersection of robotics and sensor technology.
Research Focus
Key Achievements
Top Papers
- 1