Ruiyang Duan
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Ruiyang Duan has a total of 13 co-authors. Here are the top co-authors by number of shared publications:
- Xinlei Chen
Tsinghua University
3 shared publications - Xinyu Luo
Shenzhen International Graduate School, Tsinghua University, Shenzhen, China
3 shared publications - Haoyang Wang
Tsinghua University
2 shared publications - Jialong Chen
Meituan Academy of Robotics, China, Shenzhen, China
2 shared publications - Jingao Xu
The University of Hong Kong
2 shared publications - Wenhua Ding
Shenzhen International Graduate School, Tsinghua University, Shenzhen, China
2 shared publications
Latest Publications
- Open Access
- 10 May 2026
- Published by Association for Computing Machinery (ACM)
- p. 746-760
Count Every Rotation and Every Rotation Counts: Exploring Drone Dynamics via Propeller Sensing
As drone-based applications proliferate, paramount contactless sensing of airborne drones from the ground becomes indispensable. This work demonstrates concentrating on propeller rotational speed will substantially improve drone sensing performance and proposes an event-camera-based solution, EventPro. EventPro features two components: Count Every Rotation achieves accurate, real-time propeller speed estimation by mitigating ultra-high sensitivity of event cameras to environmental noise. Every Rotation Counts leverages these speeds to infer both internal and external drone dynamics. Extensive evaluations in real-world drone delivery scenarios show that EventPro achieves a sensing latency of 3 ms and a rotational speed estimation error of merely 0.23%. Additionally, EventPro infers drone flight commands with 96.5% precision and improves drone tracking accuracy by over 22% when combined with other sensing modalities. Demo: https://eventpro25.github.io/EventPro/.
- 10 May 2026
- Published by Association for Computing Machinery (ACM)
- p. 746-760
Open AccessCount Every Rotation and Every Rotation Counts: Exploring Drone Dynamics via Propeller Sensing
As drone-based applications proliferate, paramount contactless sensing of airborne drones from the ground becomes indispensable. This work demonstrates concentrating on propeller rotational speed will substantially improve drone sensing performance and proposes an event-camera-based solution, EventPro. EventPro features two components: Count Every Rotation achieves accurate, real-time propeller speed estimation by mitigating ultra-high sensitivity of event cameras to environmental noise. Every Rotation Counts leverages these speeds to infer both internal and external drone dynamics. Extensive evaluations in real-world drone delivery scenarios show that EventPro achieves a sensing latency of 3 ms and a rotational speed estimation error of merely 0.23%. Additionally, EventPro infers drone flight commands with 96.5% precision and improves drone tracking accuracy by over 22% when combined with other sensing modalities. Demo: https://eventpro25.github.io/EventPro/.
- Open Access
- 12 October 2025
- Published by Association for Computing Machinery (ACM)
- p. 1364-1369
Event-IR: Microsecond-Level UAV Landing via Event Camera and Stroboscopic Infrared Marker
- 12 October 2025
- Published by Association for Computing Machinery (ACM)
- p. 1364-1369
Open AccessEvent-IR: Microsecond-Level UAV Landing via Event Camera and Stroboscopic Infrared Marker
- Open Access
- 6 May 2025
- Published by Association for Computing Machinery (ACM)
- p. 15-29
Ultra-High-Frequency Harmony: mmWave Radar and Event Camera Orchestrate Accurate Drone Landing
- 6 May 2025
- Published by Association for Computing Machinery (ACM)
- p. 15-29
Open AccessUltra-High-Frequency Harmony: mmWave Radar and Event Camera Orchestrate Accurate Drone Landing