Chaoying Tang

Institute of Economic Forecasting, Nanjing University of Aeronautics and Astronautics

Papers

Total Citations

137

H-Index

About

Dr. Chaoying Tang is a pioneering researcher whose work bridges the transformative potential of educational technology and the precision engineering of autonomous systems. Her primary contributions lie in two distinct yet impactful domains: fostering student creativity through digital tools and advancing the visual navigation of unmanned aerial vehicles (UAVs). Her landmark 2022 literature review, "Improving student creativity through digital technology products," has garnered 130 citations, establishing her as a leading voice in understanding how digital products can systematically enhance creative thinking in educational settings. In parallel, her 2020 work on "Pose and Velocity Estimation Algorithm for UAV in Visual Landing" (7 citations) tackles a critical challenge in robotics—enabling drones to autonomously and accurately land using visual cues. This algorithm, which improves state estimation for robot visual navigation, has direct applications in autonomous delivery, surveillance, and search-and-rescue missions. Dr. Tang’s ability to synthesize complex theoretical frameworks with practical engineering solutions underscores her versatility. Her research not only informs classroom practices but also pushes the boundaries of autonomous robotics, making her a notable figure in both educational innovation and computer vision.