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相关概念视频

Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

62
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...
62
Errors in Global Positioning System01:26

Errors in Global Positioning System

46
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,...
46
Adjusting a Traverse01:12

Adjusting a Traverse

62
In the site survey of a four-sided traverse, internal angles are essential to ensure geometric accuracy. The survey revealed that the sum of the measured internal angles was 359 degrees and 48 minutes, which is 12 minutes less than the expected 360 degrees. This discrepancy signals an error likely arising from measurement inaccuracies during the fieldwork.To rectify this error, the adjustment process involved distributing the 12-minute shortfall equally across the four internal angles. By...
62
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

37
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...
37
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

49
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...
49

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相关实验视频

Updated: Jul 9, 2025

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults
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基于改进的RTABMAP算法,研究移动机器人在室内环境中的定位精度.

Shijie Zhou1, Zelun Li1, Zhongliang Lv1

  • 1Chongqing University of Science and Technology, Chongqing 401331, China.

Sensors (Basel, Switzerland)
|December 9, 2023
PubMed
概括

这项研究介绍了RTABMAP-VIWO,一种增强的视觉同步定位和映射 (VSLAM) 方法. 它通过融合轮子测距和IMU数据,显著减少室内机器人定位错误,提高准确性.

关键词:
在RTABMAPAP上使用.多传感器融合融合技术机器人本地化 机器人本地化视觉上的SLAM是什么意思

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相关实验视频

Last Updated: Jul 9, 2025

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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:

  • 视觉SLAM对于移动机器人定位在GNSS失败的情况下至关重要.
  • 室内机器人导航由于环境因素而遭受累积位置错误.
  • 像RTABMAP这样的现有方法的准确性会随着时间的推移而下降.

研究的目的:

  • 为了提高移动机器人的Visual SLAM的准确性和减少累积错误.
  • 通过整合惯性测量单元 (IMU) 数据来增强RTABMAP方法.
  • 评估拟议的RTABMAP-VIWO方法与现有的SLAM技术的性能.

主要方法:

  • 根据RTABMAP框架提出的RTABMAP-VIWO方法.
  • 使用扩展卡尔曼波器 (EKF) 将轮距和IMU态度估计结合起来.
  • 提供了新的预测值以减轻本地累积错误.

主要成果:

  • 与公开数据集上的RTABMAP相比,RTABMAP-VIWO减少了48.1%的根平均平方误差 (RMSE).
  • 在现实室内实验中,RMSE至少减少了29.4%.
  • 在轨迹和姿势错误减少方面取得了显著的改善.

结论:

  • RTABMAP-VIWO方法有效地减少了室内移动机器人定位中的累积错误.
  • 将IMU数据纳入RTABMAP可以显著提高定位准确性.
  • 拟议的方法为VSLAM在具有挑战性的室内环境中提供了可行和更准确的解决方案.