Alexey Evgenov
Papers
1
Total Citations
11
H-Index
1
About
Alexey Evgenov is a researcher whose work sits at the intersection of robotics, 3D modeling, and building information management (BIM). His most cited paper, "Automation of 3D Building Model Generation Using Quadrotor" (2015), with 11 citations, introduces a novel approach to automating the creation of 3D building models through the use of quadrotor drones. This work addresses a critical bottleneck in the BIM workflow—the labor-intensive process of manual model generation—by leveraging autonomous aerial platforms for data capture and reconstruction. Evgenov’s contribution lies in demonstrating how control algorithms and sensor integration can streamline the transition from physical structures to digital twins, enhancing the efficiency and accuracy of building management systems. While his citation count reflects a focused, emerging impact, his research is notable for bridging practical robotics with the growing demand for automated infrastructure modeling. For students and researchers in robotics, computer vision, or civil engineering, Evgenov’s work offers a compelling glimpse into how unmanned aerial vehicles can transform the way we digitize and manage our built environment.
Research Focus
Key Achievements
Top Papers
- 1Automation of 3D Building Model Generation Using Quadrotor11 citations · 2015