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Updated: Sep 18, 2025

Photorealistic Learned Landscapes for Augmented Reality
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Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

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AGEN:在极端天气条件下的自适应错误控制驱动的交叉视图地理定位

Mengmeng Xu1, Hongxiang Lv1, Hai Zhu1

  • 1Faculty of Electrical and Electronic Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.

Sensors (Basel, Switzerland)
|June 27, 2025
PubMed
概括

这项研究介绍了AGEN,这是一种用于无GPS交叉视图地理定位的新框架,可以在极端天气中提高无人机导航的准确性. AGEN将DINOv2与LPN以及适应性错误控制模块集成在一起,以实现强大的性能.

关键词:
这就是DINOv2的意义.西安人的网络网络.一个模糊的PID.地理定位 - 地理定位

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