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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...
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Introduction to Global Positioning System01:30

Introduction to Global Positioning System

47
The Global Positioning System (GPS) revolutionized positioning on Earth, providing precise location data through satellite ranging. The GPS system was developed in 1978 by the U.S. Department of Defense  for military use, and it became available for civilian applications in 1983, transforming fields including navigation, fleet management, and time synchronization for telecommunications systems.GPS consists of satellites in medium Earth orbit, about 20,200 kilometers above the surface,...
47
Errors in Global Positioning System01:26

Errors in Global Positioning System

38
Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
38
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

38
The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
38
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

25
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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相关实验视频

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A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
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基于3D LiDAR的导航系统的实时全球重新定位框架.

Ziqi Chai1, Chao Liu1,2, Zhenhua Xiong1

  • 1State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.

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概括
此摘要是机器生成的。

这项研究引入了一个用于机器人全球重新定位的新型模板匹配框架,使用异质传感器地图在以前未被访问的环境中实现导航. 该系统实现了自主导航的高精度和效率.

关键词:
李达尔·斯兰姆 (LiDAR SLAM) 是一个名为李达尔·斯兰姆 (LiDAR SLAM) 的语言.全球重新定位全球重新定位地方识别 地方识别实时的实时性能表现.模板匹配的匹配方式

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科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 计算机视觉 计算机视觉
  • 同时定位和绘制 (SLAM)

背景情况:

  • 位置识别对于机器人导航和预先构建的地图中的重新定位至关重要.
  • 目前的方法仅限于先前访问过的地方,并且需要相同的传感器,往往耗时.

研究的目的:

  • 提出基于模板匹配的全球重新定位框架,克服现有方法的局限性.
  • 为了使机器人能够重新定位在以前没有访问过的环境中,并且具有异质的传感器数据.

主要方法:

  • 一个离线阶段涉及重新采样虚拟LiDAR扫描,提取旋转不变描述符作为模板,并将它们集成到一个库中.
  • 在线阶段采用级联粗细模板匹配,以实现高效准确的重新定位.
  • 该框架支持机器人或其他异质传感器构建的地图.

主要成果:

  • 在使用100K模板 (1.0m误差值) 的模拟中,在11Hz时达到99%的成功率.
  • 在 40K 模板 (1.0m 误差值) 的 The Newer College 数据集上以 7 Hz 的 94.67% 的成功率得到验证.

结论:

  • 拟议的框架显示了全球重新定位的高精度和效率.
  • 它成功地在异质地图和以前未被访问的环境中实现了重新定位.