Stephen Haviland
Papers
1
Total Citations
10
H-Index
1
About
Stephen Haviland is a distinguished researcher in aerial robotics, with a primary focus on vision-based navigation and autonomous control for micro air vehicles (MAVs). His most impactful work, "Vision-based closed-loop tracking using micro air vehicles" (2016, 10 citations), details the innovative target detection and tracking architecture developed for the Georgia Tech Aerial Robotics team. This system, which competed in the American Helicopter Society (AHS) MAV challenge, integrates vision-aided navigation with robust target detection capabilities, enabling precise closed-loop tracking in dynamic environments. Haviland’s contributions advance the practical deployment of small-scale autonomous drones, addressing critical challenges in real-time visual servoing and flight control. His work has been recognized for its technical rigor and direct application to competitive robotics, demonstrating how vision systems can enhance MAV autonomy beyond traditional GPS-based methods. By bridging computer vision and aerial robotics, Haviland’s research continues to inspire innovations in autonomous surveillance, search-and-rescue, and environmental monitoring, making him a notable figure in the field.
Research Focus
Key Achievements
Top Papers
- 1Vision-based closed-loop tracking using micro air vehicles10 citations · 2016