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相关概念视频

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

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Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
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Distance Measurements by Taping01:18

Distance Measurements by Taping

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Tapes are essential in surveying for accurate, durable, and short-distance measurements. Made from lightweight, nylon-coated steel, they offer flexibility and strength for rugged outdoor use. The nylon coating protects against rust and wear, extending the tape's life. Standard lengths, around 30 meters, are marked in meters and millimeters for precision.Surveyors select tapes based on site conditions and accuracy needs. Lightweight, nylon-coated tapes are commonly used for ease of handling and...
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相关实验视频

Updated: Jul 25, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
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基于功能模式与深度网络模型匹配的位置估计.

Yu-Ting Bai1,2, Wei Jia1, Xue-Bo Jin1,2

  • 1School of Artificial Intelligence, Beijing Technology and Business University, Beijing, China.

Frontiers in neurorobotics
|June 30, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的行人定位方法,仅使用惯性测量,克服全球定位系统 (GPS) 信号中断. 这种方法通过将惯性数据特征与深度网络相匹配以实现精确定位来提高准确性.

关键词:
深度网络是一个深度网络.功能提取 特性提取位置估计位置估计.定位系统定位系统的位置.模式分类 模式分类

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科学领域:

  • 工程 工程师 工程师 工程师
  • 计算机科学 计算机科学
  • 地理学就是地质学.

背景情况:

  • 全球导航卫星系统 (GNSS) 和全球定位系统 (GPS) 的信号经常在城市峡谷和道等具有挑战性的环境中丢失.
  • 在这些信号中断期间准确地定位行人仍然是一个重大的技术挑战.

研究的目的:

  • 提出和评估一种新的位置估计方法,仅依赖于行人导航的惯性测量.
  • 解决基于GPS的定位在信号阻塞的环境中的局限性.

主要方法:

  • 开发了一个深度网络框架,用于从惯性测量中提取特征和匹配.
  • 功能提取和分类技术用于模式分区.
  • 分析了深度网络模型,并训练了不同的惯性测量模式,以获得本地化信息.

主要成果:

  • 拟议的方法通过使用适合不同特征模式的深度网络来提高位置估计的准确性.
  • 这种方法有效地提高了在GPS信号中断期间行人定位的准确性.

结论:

  • 仅使用惯性测量进行行人定位是可行的,并且可以达到高精度.
  • 深度网络模型与功能模式匹配相结合,为在GNSS拒绝环境中的导航提供了强大的解决方案.