30 citations · 44 across the 12 of their papers we have counts for
13 papers
EventRadar: Long-Range Visual UAV Discovery through Spatiotemporal Event Sensing
Zhiting Zhou, Xingchen Liu, Xinglin Yu +5
Unauthorized unmanned aerial vehicle (UAV) activity around airports, public venues, and other sensitive sites has made protected-airspace monitoring increasingly important. A pract…
QUIDS: Quality-informed Incentive-driven Multi-agent Dispatching System for Mobile Crowdsensing
Nan Zhou, Zuxin Li, Fanhang Man +7
This paper addresses the challenge of achieving optimal Quality of Information (QoI) in non-dedicated vehicular mobile crowdsensing (NVMCS) systems. The key obstacles are the inter…
Count Every Rotation and Every Rotation Counts: Exploring Drone Dynamics via Propeller Sensing
Xuecheng Chen, Jingao Xu, Wenhua Ding +7
As drone-based applications proliferate, paramount contactless sensing of airborne drones from the ground becomes indispensable. This work demonstrates concentrating on propeller r…
Enabling High-Frequency Cross-Modality Visual Positioning Service for Accurate Drone Landing
Haoyang Wang, Xinyu Luo, Wenhua Ding +7
After years of growth, drone-based delivery is transforming logistics. At its core, real-time 6-DoF drone pose tracking enables precise flight control and accurate drone landing. W…
Flight Dynamics to Sensing Modalities: Exploiting Drone Ground Effect for Accurate Edge Detection
Chenyu Zhao, Jingao Xu, Ciyu Ruan +9
Drone-based rapid and accurate environmental edge detection is highly advantageous for tasks such as disaster relief and autonomous navigation. Current methods, using radars or cam…
iPanda: An LLM-based Agent for Automated Conformance Testing of Communication Protocols
Xikai Sun, Fan Dang, Shiqi Jiang +8
Conformance testing is essential for ensuring that protocol implementations comply with their specifications. However, traditional testing approaches involve manually creating nume…
mmE-Loc: Facilitating Accurate Drone Landing with Ultra-High-Frequency Localization
Haoyang Wang, Jingao Xu, Xinyu Luo +8
For precise, efficient, and safe drone landings, ground platforms should real-time, accurately locate descending drones and guide them to designated spots. While mmWave sensing com…
Aerial Shepherds: Enabling Hierarchical Localization in Heterogeneous MAV Swarms
Haoyang Wang, Jingao Xu, Chenyu Zhao +6
A heterogeneous micro aerial vehicles (MAV) swarm consists of resource-intensive but expensive advanced MAVs (AMAVs) and resource-limited but cost-effective basic MAVs (BMAVs), off…
Event Camera Meets Mobile Embodied Perception: Abstraction, Algorithm, Acceleration, Application
Haoyang Wang, Ruishan Guo, Pengtao Ma +7
With the increasing complexity of mobile device applications, these devices are evolving toward high agility. This shift imposes new demands on mobile sensing, particularly in achi…
Ultra-High-Frequency Harmony: mmWave Radar and Event Camera Orchestrate Accurate Drone Landing
Haoyang Wang, Jingao Xu, Xinyu Luo +5
For precise, efficient, and safe drone landings, ground platforms should real-time, accurately locate descending drones and guide them to designated spots. While mmWave sensing com…
SniffySquad: Patchiness-Aware Gas Source Localization with Multi-Robot Collaboration
Yuhan Cheng, Xuecheng Chen, Yixuan Yang +6
Gas source localization is pivotal for the rapid mitigation of gas leakage disasters, where mobile robots emerge as a promising solution. However, existing methods predominantly sc…
Palantir: Towards Efficient Super Resolution for Ultra-high-definition Live Streaming
Xinqi Jin, Zhui Zhu, Xikai Sun +6
Neural enhancement through super-resolution (SR) deep neural networks (DNNs) opens up new possibilities for ultra-high-definition (UHD) live streaming over existing encoding and ne…
TransformLoc: Transforming MAVs into Mobile Localization Infrastructures in Heterogeneous Swarms
Haoyang Wang, Jingao Xu, Chenyu Zhao +6
A heterogeneous micro aerial vehicles (MAV) swarm consists of resource-intensive but expensive advanced MAVs (AMAVs) and resource-limited but cost-effective basic MAVs (BMAVs), off…