Shengyang Ge

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About

Shengyang Ge is a researcher advancing the frontiers of intelligent unmanned aerial vehicle (UAV) systems, with a primary focus on autonomous navigation, visual perception, and real-world deployment. His work addresses critical challenges in enabling UAVs to operate reliably in complex, GPS-denied environments. Ge’s most-cited paper, “Packages delivery based on marker detection for UAVs” (2020, 25 citations), tackles the express delivery industry’s need for efficient environmental awareness and self-control. He designed a marker detection system that enhances a UAV’s ability to perceive and interact with its surroundings, directly improving autonomous package delivery. In a second notable contribution, “Research on An Autonomous Tunnel Inspection UAV based on Visual Feature Extraction and Multi-sensor Fusion Indoor Navigation System” (2021, 7 citations), Ge pivots to infrastructure inspection. He addresses the limitations of traditional track- and trolley-based robots in underground cable tunnels by developing a UAV that fuses visual features with multi-sensor data for robust indoor navigation. This work promises safer, more flexible inspections of critical power grid infrastructure. Through these contributions, Ge demonstrates a clear impact on practical UAV autonomy, bridging the gap between laboratory research and industrial applications in logistics and energy sectors.