Sipan Ye

Papers

Total Citations

H-Index

About

Sipan Ye is a researcher whose work bridges robotics, computer vision, and autonomous systems, with a particular focus on enabling intelligent navigation for unmanned aerial vehicles (UAVs). His key research areas include visual homing, 3D perception, and autonomous flight control for commodity drones. Ye’s most notable contribution is his pioneering work on 3D visual homing, a technique that allows a robot to navigate to a target location using only visual cues—without relying on GPS or pre-built maps. While 2D visual homing has been extensively explored, Ye’s 2018 paper, "3D Visual Homing for Commodity UAVs," addresses the underexplored challenge of extending this capability to three-dimensional space, making it practical for off-the-shelf drones. This work has laid important groundwork for more robust, vision-based autonomous navigation in complex environments. Though still early in his career, Ye’s research has been cited in subsequent studies on UAV localization and visual servoing, highlighting its relevance to the growing field of drone autonomy. His contributions are particularly valuable for applications in search-and-rescue, environmental monitoring, and autonomous delivery systems.