Jingqi Jiang

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About

Jingqi Jiang is a robotics researcher specializing in state estimation and autonomous navigation for unmanned aerial vehicles (UAVs), with a focus on visual-inertial odometry (VIO) and real-time flight systems. Her most impactful contribution is the development of DVIO (Direct Visual-Inertial Odometry), an optimization-based framework that tightly fuses direct visual measurements with inertial data for robust, real-time state estimation. Published in 2020, this work has garnered 44 citations, reflecting its significance in advancing VIO methodologies beyond existing indirect-feature approaches. Jiang also pioneered an extendable flight system for commercial DJI-autopiloted UAVs, integrating it with the Robot Operating System (ROS) to enable external position control and flexible mission planning. This 2018 work, while less cited, demonstrates her practical engineering contributions to making UAV platforms more accessible for research and deployment. Her research addresses critical challenges in autonomous flight—balancing computational efficiency with accuracy in GPS-denied environments. Jiang’s work is particularly valuable for students and researchers in robotics, computer vision, and drone technology, offering both theoretical innovations and open-source frameworks that lower barriers to entry in UAV autonomy.