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相关概念视频

Field Application of Global Positioning System01:28

Field Application of Global Positioning System

63
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...
63
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

75
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...
75
Errors in Global Positioning System01:26

Errors in Global Positioning System

61
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,...
61
Introduction to Global Positioning System01:30

Introduction to Global Positioning System

78
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,...
78
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

67
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...
67
Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

365
Rolling resistance, also known as rolling friction, is the force that resists the motion of a rolling object, such as a wheel, tire, or ball, when it moves over a surface. It is caused by the deformation of the object and the surface in contact with each other, as well as other factors like internal friction, hysteresis, and energy losses within the materials. Rolling resistance opposes the object's motion, requiring additional energy to overcome it and maintain movement. In practical...
365

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相关实验视频

Updated: Jul 15, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

568

基于深度学习的强大定位,用于全天候自动驾驶.

Yasin Almalioglu1, Mehmet Turan2, Niki Trigoni1

  • 1Department of Computer Science, University of Oxford, Oxford, UK.

Nature machine intelligence
|October 4, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种深度学习方法,让自动驾驶汽车能够准确地估计自己的位置,即使在恶劣的天气中也是如此. 这种方法将视觉和雷达数据合并为强大的全天候自动驾驶.

关键词:
计算科学是一种计算科学.计算机科学 计算机科学

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A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis
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科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 人工智能的人工智能
  • 计算机视觉 计算机视觉

背景情况:

  • 自动驾驶汽车 (AV) 在恶劣天气中由于传感器限制而面临精确定位的挑战.
  • 目前的AV部署仅限于小规模的试验,阻碍了广泛采用.
  • 准确的自我运动估计对于安全可靠的AV操作至关重要.

研究的目的:

  • 为自动驾驶汽车开发一个强大的自我运动估计方法.
  • 在恶劣天气条件下改善AV本地化能力.
  • 创建一个互补的本地化解决方案,克服传感器的缺陷.

主要方法:

  • 一种基于深度学习的,自我监督的方法,用于自我运动估计.
  • 视觉和雷达传感器数据的几何意识融合使用基于注意力的学习.
  • 预测可靠性面具以减轻多式联运数据缺陷.

主要成果:

  • 在雨,雾和雪中表现出强大的全天候性能.
  • 在各种条件下 (白天/夜晚,恶劣天气) 展示了有效的跨领域通用性.
  • 利用游戏理论进行解释,揭示多式联络系统中的独立故障模式.

结论:

  • 拟议的方法为在恶劣天气下自动驾驶汽车提供可靠的定位解决方案.
  • 这种方法提高了自动驾驶汽车的安全性和可靠性,用于全天候自动驾驶.
  • 视觉和雷达数据与可靠性掩盖的融合证明了对强大的导航的有效性.