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相关概念视频

Errors in Global Positioning System01:26

Errors in Global Positioning System

317
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,...
317
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

330
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...
330
Introduction to Global Positioning System01:30

Introduction to Global Positioning System

449
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,...
449
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

296
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...
296

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AttSCNs:一个贝叶斯优化的混合模型,带有注意力引导的随机配置网络,用于稳健的GPS轨迹预测.

Xue-Bo Jin1, Ye-Qing Wang1, Jian-Lei Kong1

  • 1School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China.

Entropy (Basel, Switzerland)
|November 26, 2025
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概括

本研究介绍了AttSCNs,这是一种用于汽车互联网 (IoV) 轨迹预测的新型框架. 它有效地处理GPS噪音和长期依赖,改善道路安全和交通流动.

关键词:
贝叶斯超参数优化贝叶斯超参数优化这是GPS跟踪系统.汽车互联网的汽车互联网注意力机制注意力机制随机配置网络的网络是随机的配置网络.轨迹的预测和预测.

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科学领域:

  • 计算机科学 计算机科学
  • 人工智能的人工智能
  • 机器人技术 机器人技术 机器人技术

背景情况:

  • 轨迹预测对于汽车互联网 (IoV) 的安全性和效率至关重要.
  • 现有的方法与GPS噪声和长期轨迹依赖性作斗争.

研究的目的:

  • 开发一个概率混合框架,AttSCNs,用于强大的IoV轨迹预测.
  • 为应对有色噪声和长期依赖GPS数据的挑战.

主要方法:

  • 随机配置网络 (SCN) 与基于注意力的编码器的集成.
  • 利用SCN的随机神经元进行适应性噪声过.
  • 采用贝叶斯式超参数优化来实现强大的模型配置.

主要成果:

  • 在现实世界GPS数据集上,AttSCN显著优于传统方法.
  • 与SCN相比,实现了36.51%的RMSE减少和97.8%的MAE减少与卡尔曼过器相比.
  • 证明了52.5%的RMSE和68.5%的MAE减少与LSTM相比,具有实时推断.

结论:

  • AttSCNs为IoV轨迹预测提供了一个强大的,耐噪声的解决方案.
  • 该框架提高了自动驾驶和智能城市系统的性能.
  • 量化预测不确定性,以提高可靠性.