Haiqing Shi

Papers

Total Citations

H-Index

About

Haiqing Shi’s research focuses on autonomous aerial robotics, with a particular emphasis on vision-based navigation and control systems for unmanned aerial vehicles (UAVs) and rotorcraft. His most cited work, "The object recognition and adaptive threshold selection in the vision system for landing an Unmanned Aerial Vehicle" (2009, 19 citations), presents a pioneering vision system that integrates onboard camera platforms with adaptive thresholding for autonomous landing—a critical challenge in UAV operations. Shi further advanced this field with "A vision system for landing an unmanned helicopter in a complex environment" (2009, 3 citations), which tackles the difficult problem of target recognition and navigation in cluttered or ambiguous settings. His work on "Implementation and design of rotorcraft aerial robot system" (2010, 4 citations) details the complete architecture of a rotorcraft aerial robot, including helicopter-ground station communication and autonomous flight control. Collectively, Shi’s contributions have laid foundational algorithms for robust visual landing in real-world environments, influencing subsequent research in autonomous UAV systems. His work is particularly notable for addressing practical challenges such as adaptive threshold selection and multi-target scenarios, making his research highly relevant for students and engineers developing next-generation autonomous aerial vehicles.