4 papers
Overcoming the Intrinsic Performance Limitations of MEMS IMU via Diffusion-Based Generative Learning
Jiarui Lv, Feng Zhu, Xiaohong Zhang
Inertial measurement units (IMUs) are fundamental sensing components in multi-source integrated navigation systems, and their performance directly determines the accuracy and relia…
SmartPNT-MSF: A Multi-Sensor Fusion Dataset for Positioning and Navigation Research
Feng Zhu, Zihang Zhang, Kangcheng Teng +2
High-precision navigation and positioning systems are critical for applications in autonomous vehicles and mobile mapping, where robust and continuous localization is essential. To…
PO-GVINS: Tightly Coupled GNSS-Visual-Inertial Integration with Pose-Only Representation
Zhuo Xu, Feng Zhu, Zihang Zhang +4
Accurate and reliable positioning is crucial for perception, decision-making, and other high-level applications in autonomous driving, unmanned aerial vehicles, and intelligent rob…
On State Estimation in Multi-Sensor Fusion Navigation: Optimization and Filtering
Feng Zhu, Zhuo Xu, Xveqing Zhang +3
The essential of navigation, perception, and decision-making which are basic tasks for intelligent robots, is to estimate necessary system states. Among them, navigation is fundame…