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相关概念视频

Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

45
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
45
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

26
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...
26
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

26
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
26
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

51
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...
51
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
GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

47
A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
47

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相关实验视频

Updated: Jun 13, 2025

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
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使用在城市道路上收集的众包数据进行车辆定位.

Soohyun Cho1, Woojin Chung1

  • 1Department of Mechanical Engineering, Korea University, Seoul 02841, Republic of Korea.

Sensors (Basel, Switzerland)
|September 14, 2024
PubMed
概括

本研究提出了一种可靠的车辆本地化方法,使用来自城市道路的众包数据. 它解决了传感器的不准确性和复杂的环境,以提高定位准确性.

科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 地理学工程 工程地质学
  • 计算机视觉 计算机视觉

背景情况:

  • 车辆定位对于自动驾驶和道路绘图至关重要.
  • 来自低成本传感器的众包数据为广泛的道路网络提供了具有成本效益的数据收集.
  • 低成本的传感器和城市环境带来了诸如传感器不准确性和GNSS信号阻塞等挑战.

研究的目的:

  • 用众包数据为城市道路提出可靠的车辆定位方法.
  • 为了应对高传感器不准确性,复杂的道路结构和环境变化的挑战.
  • 将局部车辆位置的可靠性评估纳入其中.

主要方法:

  • 利用大量众包的车辆轨迹和道路观测数据.
  • 开发一种对传感器读数不准确的本地化算法.
  • 整合部分高清地图以考虑环境变化.
  • 实施估计车辆位置的可靠性评估.

主要成果:

  • 在城市环境中展示了一种可靠的车辆定位方法.
  • 成功应对传感器数据不准确和道路结构复杂所带来的挑战.
  • 通过在韩国首尔的公共汽车上的真实数据验证了该方法的性能.
关键词:
众包数据是众包数据.同时定位和绘制地图.车辆定位 车辆定位

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结论:

  • 拟议的方法提供了一种可靠的解决方案,用于在城市环境中使用众包数据进行车辆定位.
  • 可靠性评估提高了局部车辆位置的可靠性.
  • 这种方法即使在高清地图创建后收集了大量数据,也有效,这表明了适应性.