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相关概念视频

Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

50
GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
50
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

24
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...
24

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相关实验视频

Updated: Jun 9, 2025

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.6K

基于雷达的摔倒探测:一项调查

Shuting Hu1, Siyang Cao1, Nima Toosizadeh2

  • 1the Department of Electrical and Computer Engineering, The University of Arizona, Tucson, AZ, 85721 USA.

IEEE robotics & automation magazine
|October 28, 2024
PubMed
概括
此摘要是机器生成的。

雷达技术为老年人提供先进的摔倒检测. 深度学习方法在分析复杂的雷达数据方面表现出卓越的性能,以改善安全和公共卫生结果.

关键词:
一个手势,一个手势.人类检测和跟踪机器学习用于机器人控制控制姿势和面部表情表达方式

更多相关视频

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
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Last Updated: Jun 9, 2025

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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
  • 公共卫生 公共卫生

背景情况:

  • 落检测对公共卫生至关重要,特别是对老年人来说.
  • 雷达技术是人类检测和跟踪的一个有前途的工具.
  • 传统的机器学习 (ML) 和深度学习 (DL) 方法用于落检测.

研究的目的:

  • 提供基于雷达的摔倒检测技术的深入分析.
  • 审查和综合自2000年以来关于雷达落探测的现有研究.
  • 确定研究缺口和未来的战略,重点关注深度学习的潜力.

主要方法:

  • 对74篇关于基于雷达的摔倒探测研究文章的调查.
  • 分析微多普勒,范围多普勒和范围多普勒角度技术.
  • 雷达信号处理,ML和DL算法的概述.

主要成果:

  • 深度学习方法 (CNN,RNN) 在特征提取和数据处理方面优于传统的ML (SVM,kNN).
  • 基于雷达的摔倒探测显示了对现实世界应用的巨大潜力.
  • 挑战包括定义各种因素影响的跌倒和检测标准.

结论:

  • 雷达技术,特别是深度学习技术,为落检测提供了强大的解决方案.
  • 需要进一步的研究来探索深度学习在这个领域的全部潜力.
  • 标准化的定义和标准对于强大的落检测系统至关重要.