Alexander Arkhipov
Papers
1
Total Citations
4
H-Index
1
About
Alexander Arkhipov is a researcher specializing in computer vision and robotics, with a particular focus on stereovision systems and autonomous navigation. His work centers on developing algorithms for depth perception and obstacle avoidance in mobile robots. Arkhipov’s most cited paper, “System of Stereovision Based on Fuzzy-Logical Method of Constructing Depth Map” (2018, 4 citations), introduces a novel approach to distance measurement using video processing. By modifying the sum of absolute differences (SAD) algorithm and integrating fuzzy logic, he enhances depth map construction, enabling mobile robots to calculate required rotation angles for navigating around obstacles. This contribution addresses critical challenges in real-time spatial awareness for autonomous systems. While his citation count reflects a niche but emerging impact, Arkhipov’s work is notable for bridging fuzzy logic with classical stereovision techniques, offering a robust solution for dynamic environments. His research holds promise for advancing robotics in areas such as warehouse automation, search-and-rescue, and autonomous driving, where precise depth perception is essential for safe and efficient movement.
Research Focus
Key Achievements
Top Papers
- 1