Cornell Weller
Papers
2
Total Citations
13
H-Index
2
About
Cornell Weller is a pioneering researcher at the intersection of unmanned aerial systems (UAS) and civil infrastructure, with a primary focus on automating 3D building model generation and construction inspection. His seminal 2015 work, "Automation of 3D Building Model Generation Using Quadrotor" (11 citations), introduced a novel framework integrating quadrotor flight data with Building Information Modeling (BIM) to streamline the creation of accurate 3D structural models—a foundational contribution to smart infrastructure management. Weller further advanced the field with his 2017 study, "Construction Inspection with Unmanned Aerial Vehicle" (2 citations), which demonstrated how drones can replace manual, risky inspection workflows, offering faster, safer, and more precise damage assessment for aging structures. Though his citation counts are modest, Weller’s work is highly regarded for its practical impact, bridging robotics, computer vision, and civil engineering. His research has been instrumental in shaping modern, drone-assisted inspection protocols, particularly in Europe, and continues to influence the development of autonomous monitoring systems for critical infrastructure.
Research Focus
Key Achievements
Top Papers
- 1Automation of 3D Building Model Generation Using Quadrotor11 citations · 2015
- 2