2 citations · 2 across the 7 of their papers we have counts for
7 papers
EM-Fall: Embodied mmWave Sensing for Day-and-Night Fall Detection on Humanoid Robots
Yanshuo Lu, Yuxuan Hu, Shenghai Yuan +5
Falls are one of the leading causes of injury and hospitalization among elderly individuals, making reliable fall awareness an essential capability for safety monitoring in residen…
SignalLLM: A General-Purpose LLM Agent Framework for Automated Signal Processing
Junlong Ke, Qiying Hu, Shenghai Yuan +2
Modern signal processing (SP) pipelines, whether model-based or data-driven, often constrained by complex and fragmented workflow, rely heavily on expert knowledge and manual engin…
QLIO: Quantized LiDAR-Inertial Odometry
Boyang Lou, Shenghai Yuan, Jianfei Yang +3
LiDAR-Inertial Odometry (LIO) is widely used for autonomous navigation, but its deployment on Size, Weight, and Power (SWaP)-constrained platforms remains challenging due to the co…
Adaptive-LIO: Enhancing Robustness and Precision through Environmental Adaptation in LiDAR Inertial Odometry
Chengwei Zhao, Kun Hu, Jie Xu +5
The emerging Internet of Things (IoT) applications, such as driverless cars, have a growing demand for high-precision positioning and navigation. Nowadays, LiDAR inertial odometry…
Unsupervised UAV 3D Trajectories Estimation with Sparse Point Clouds
Hanfang Liang, Yizhuo Yang, Jinming Hu +3
Compact UAV systems, while advancing delivery and surveillance, pose significant security challenges due to their small size, which hinders detection by traditional methods. This p…
Audio Array-Based 3D UAV Trajectory Estimation with LiDAR Pseudo-Labeling
Allen Lei, Tianchen Deng, Han Wang +2
As small unmanned aerial vehicles (UAVs) become increasingly prevalent, there is growing concern regarding their impact on public safety and privacy, highlighting the need for adva…
AV-DTEC: Self-Supervised Audio-Visual Fusion for Drone Trajectory Estimation and Classification
Zhenyuan Xiao, Yizhuo Yang, Guili Xu +2
The increasing use of compact UAVs has created significant threats to public safety, while traditional drone detection systems are often bulky and costly. To address these challeng…