معرفی
Jingao Xu is a Research Fellow in the Computer Science Department at Carnegie Mellon University's School of Computer Science, based in room 9120 of the Gates and Hillman Centers. His research bridges computer vision, robotics, and edge computing with a focus on real-world applications in drone systems and mobile sensing. His work addresses critical challenges in resource-constrained environments through innovative sensor fusion techniques.
Xu's primary research centers on event camera technology, where he pioneers applications in drone navigation, SLAM, and environmental monitoring. His contributions include deraining algorithms using state space models (PRE-Mamba), mmWave radar-event camera fusion for drone landing, and multi-robot gas source localization (SniffySquad). He specializes in extracting value from high-frequency event streams under challenging conditions like rain, low light, and high-speed motion, with significant work in fall detection systems and urban air quality monitoring through mobile crowd-sensing (CatUA).
Analysis of his 15 most recent publications (2024-2025) reveals three dominant trends: (1) Adoption of state space models (particularly Mamba variants) for efficient event stream processing, (2) Integration of event cameras with complementary sensors (mmWave radar, depth, IMU) for robust perception, and (3) Development of edge-assisted frameworks for real-time drone operations in wildfire suppression and autonomous navigation. His work consistently targets practical deployment on mobile platforms with severe computational constraints.
No scientific awards or honors were mentioned in the available information. Details regarding student advising, research grants, laboratory affiliations, or team structures were not provided in the source material.
