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相关概念视频

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

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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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Introduction to Global Positioning System01:30

Introduction to Global Positioning System

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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,...
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Errors in Global Positioning System01:26

Errors in Global Positioning System

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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,...
47
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

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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...
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Circular Orbits and Critical Velocity for Satellites01:16

Circular Orbits and Critical Velocity for Satellites

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The Moon orbits around the Earth. In turn, the Earth (and other planets) orbit the Sun. The space directly above our atmosphere is filled with artificial satellites in orbit. One can examine the circular orbit, the simplest kind of orbit, to understand the relationship between the speed and the period of planets and satellites with respect to their positions and the bodies that they orbit.
Nicolaus Copernicus (1473-1543) first suggested that the Earth and all other planets orbit the Sun in...
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Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

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Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
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Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
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来自卫星的车辆感知.

Bin Zhao, Pengfei Han, Xuelong Li

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    此摘要是机器生成的。

    本研究引入了基于卫星的交通监控的新基准,使车辆从太空感知到空间. 该数据集有助于从整个城市的角度研究微小物体检测和交通分析.

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    科学领域:

    • 计算机视觉 计算机视觉
    • 遥感 遥感 遥感 遥感
    • 城市流动性 城市流动性

    背景情况:

    • 卫星为交通监控提供了一个独特的,广泛的城市范围的视图,超越了传统的方法.
    • 挑战包括微小的车辆尺寸,缓慢的运动,以及由于低地球轨道 (LEO) 卫星的动态背景.
    • 现有的计算机视觉方法在这些特定条件下遇到困难.

    研究的目的:

    • 为基于卫星的交通监控建立一个大规模的基准数据集.
    • 支持研究的关键任务,如微小物体检测,车辆计数,和密度估计.
    • 鼓励在这个新兴领域进行进一步的研究和开发.

    主要方法:

    • 使用12个真实卫星视频和14个来自GTA-V的合成视频构建数据集.
    • 创建了408个视频片段,其中包括7336个真实图像和1960个合成图像.
    • 在所有图像中注释了128,801辆车,每个图像的车辆数量各不相同.

    主要成果:

    • 基准数据集有助于评估用于卫星交通监控的各种计算机视觉方法.
    • 提供了分析经典方法和最先进方法之间的性能差异.
    • 确定了关键挑战,并讨论了基于卫星的交通分析的未来研究方向.

    结论:

    • 开发的基准对于推进从卫星图像中感知车辆和监控交通至关重要.
    • 它提供了一个标准化的平台,用于在现实的,具有挑战性的条件下评估算法.
    • 数据集和分析为使用遥感数据改进交通管理应用铺平了道路.