2 citations · 3 across the 6 of their papers we have counts for
6 papers
Event-based Sensor Fusion and Application on Odometry: A Survey
Jiaqiang Zhang, Xianjia Yu, Ha Sier +2
Event cameras, inspired by biological vision, are asynchronous sensors that detect changes in brightness, offering notable advantages in environments characterized by high-speed mo…
Dual-Criterion Model Aggregation in Federated Learning: Balancing Data Quantity and Quality
Haizhou Zhang, Xianjia Yu, Tomi Westerlund
Federated learning (FL) has become one of the key methods for privacy-preserving collaborative learning, as it enables the transfer of models without requiring local data exchange.…
Towards Robust UAV Tracking in GNSS-Denied Environments: A Multi-LiDAR Multi-UAV Dataset
Iacopo Catalano, Xianjia Yu, Jorge Pena Queralta
With the increasing prevalence of drones in various industries, the navigation and tracking of unmanned aerial vehicles (UAVs) in challenging environments, particularly GNSS-denied…
LiDAR-Generated Images Derived Keypoints Assisted Point Cloud Registration Scheme in Odometry Estimation
Haizhou Zhang, Xianjia Yu, Sier Ha +1
Keypoint detection and description play a pivotal role in various robotics and autonomous applications including visual odometry (VO), visual navigation, and Simultaneous localizat…
Benchmarking UWB-Based Infrastructure-Free Positioning and Multi-Robot Relative Localization: Dataset and Characterization
Paola Torrico Morón, Sahar Salimpour, Lei Fu +3
Ultra-wideband (UWB) positioning has emerged as a low-cost and dependable localization solution for multiple use cases, from mobile robots to asset tracking within the Industrial I…
Robust Multi-Modal Multi-LiDAR-Inertial Odometry and Mapping for Indoor Environments
Li Qingqing, Yu Xianjia, Jorge Peña Queralta +1
Integrating multiple LiDAR sensors can significantly enhance a robot's perception of the environment, enabling it to capture adequate measurements for simultaneous localization and…