Yuying Zou

University of Hong Kong, HKU-Pasteur Research Pole

Papers

Total Citations

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About

Yuying Zou is a leading researcher in aerial robotics, with a focus on multi-sensor fusion, simultaneous localization and mapping (SLAM), and novel UAV design. Her most influential work, the MARS-LVIG dataset (2024, 41 citations), provides a comprehensive multi-sensor dataset integrating LiDAR, visual, inertial, and GNSS data for aerial robots, addressing a critical need for benchmarking SLAM algorithms in real-world environments. This contribution has become a key resource for advancing robust navigation in GPS-denied or degraded settings. Zou also introduced the HALO UAV (2023), a safe, coaxial, dual-ducted drone that eliminates the need for servo actuators by using a swashplateless mechanism for pitch and roll control. This innovative design reduces mechanical complexity and enhances safety, making it suitable for close-proximity human interaction. With a growing citation impact and a focus on practical, deployable solutions, Zou’s work bridges the gap between sensor integration and hardware innovation, offering valuable tools and insights for researchers and engineers working on autonomous aerial systems.