Lin Duan
Papers
1
Total Citations
42
H-Index
1
About
Lin Duan is a researcher at the forefront of computer vision and unmanned aerial vehicle (UAV) applications, with a primary focus on environmental monitoring and small-object detection. Their most notable contribution is the development of a novel dataset and benchmark for detecting waste plastic bottles in natural environments using low-altitude UAVs, as detailed in their highly cited 2018 paper (42 citations). This work addresses the challenging problem of identifying small, transparent objects in the wild, pushing the boundaries of object detection models to handle real-world environmental cleanup tasks. Duan’s research bridges the gap between aerial robotics and sustainability, offering practical solutions for automated waste management. By creating a specialized benchmark, they have enabled other researchers to train and evaluate models on this difficult detection task, fostering progress in both UAV-based surveillance and ecological conservation. Their work stands out for its direct societal impact, combining technical innovation with environmental stewardship, and has inspired further studies in low-altitude object detection for diverse applications.
Research Focus
Key Achievements
Top Papers
- 1Bottle Detection in the Wild Using Low-Altitude Unmanned Aerial Vehicles42 citations · 2018