30 citations · 43 across the 13 of their papers we have counts for
14 papers
ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception
Weichen Zhang, Shiquan Yu, Yinan Zhu +9
We introduce ActiveFly-Bench, the first benchmark to bridge cyberspace reasoning and physical-world interaction for UAV embodied perception. The benchmark decomposes active percept…
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…
EventPrune: Cascaded Event-Assisted Token Pruning for Efficient First-Person Dynamic Spatial Reasoning
Pengtao Ma, Ziliang Zhou, Ciyu Ruan +7
First-person dynamic spatial reasoning requires models to track continuous motion and precise geometric structure, but the quadratic attention cost of Transformer-based Video-LLMs…
WorldVLN: Autoregressive World Action Model for Aerial Vision-Language Navigation
Baining Zhao, Jiacheng Xu, Weicheng Feng +13
Aerial vision-language navigation (VLN) requires agents to follow natural-language instructions through closed-loop perception and action in 3D environments. We argue that aerial V…
-Fusion: Cross-Modality and Cross-Dimension Flow Estimation in Event Edge Space
Ruishan Guo, Ciyu Ruan, Haoyang Wang +3
Estimating dense 2D optical flow and 3D scene flow is essential for dynamic scene understanding. Recent work combines images, LiDAR, and event data to jointly predict 2D and 3D mot…
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…
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…
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…