Zhehan Li

ORCID: 0009-0005-0811-2490
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About
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Research Areas
  • Advanced Neural Network Applications
  • Advanced SAR Imaging Techniques
  • Robotics and Sensor-Based Localization
  • Gaze Tracking and Assistive Technology
  • Domain Adaptation and Few-Shot Learning
  • Indoor and Outdoor Localization Technologies

Xidian University
2024

Mutual localization plays a crucial role in multi-robot cooperation. CREPES, novel system that focuses on six degrees of freedom (DOF) relative pose estimation for systems, is proposed this paper. CREPES has compact hardware design using active infrared (IR) LEDs, an IR fish-eye camera, ultra-wideband (UWB) module and inertial measurement unit (IMU). By leveraging light communication, the solves data association between visual detection UWB ranging. Ranging measurements from directional...

10.48550/arxiv.2302.01036 preprint EN cc-by-nc-nd arXiv (Cornell University) 2023-01-01

The unique visual properties and the huge size of synthetic aperture radar (SAR) images pose challenges in labeling data. scarcity labeled data limits training SAR image segmentation networks. To address this issue, semi-supervised methods are used to train network. However, traditional algorithms like Mean Teacher often generate erroneous pseudo-labels that carry over subsequent epochs, leading overfitting affecting network performance. This stems from an overreliance on unreliable pixels...

10.1109/lgrs.2024.3362390 article EN IEEE Geoscience and Remote Sensing Letters 2024-01-01
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