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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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Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

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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...
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基于路边装置的车辆姿势检测方法的研究.

Juan Ni1, Xiangcun Kong1, Bingchen Yan2

  • 1School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China.

Sensors (Basel, Switzerland)
|July 27, 2024
PubMed
概括

本研究引入了一种使用路边装置 (RSU) 的新型车辆姿势检测方法,以克服当前系统的局限性. RSU准确地估计了车辆的姿势,提高了安全性,并支持自动驾驶技术.

关键词:
美国RSU RSU在UDP中,UDP是UDP.姿势检测 姿势检测 位置检测车辆检测 车辆检测 车辆检测

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相关实验视频

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科学领域:

  • 汽车工程 汽车工程
  • 计算机视觉 计算机视觉
  • 智能运输系统 智能运输系统

背景情况:

  • 目前的车辆位置估计方法存在累积错误,高计算需求和重大成本.
  • 这些局限性阻碍了智能互联汽车中先进的姿势检测的广泛采用.
  • 准确的车辆姿势对于驾驶安全,稳定性和自动驾驶发展至关重要.

研究的目的:

  • 提出和验证一种使用路边单位 (RSU) 的新型车辆姿势检测方法.
  • 解决现有的姿势估计技术在准确性,计算成本和错误积累方面的局限性.
  • 为智能汽车实时车辆姿势检测提供具有成本效益和效率的解决方案.

主要方法:

  • 车辆通过车载GPS定位,使用用户数据协议 (UDP) 向RSU传输数据.
  • RSU通过车载单元 (OBU) 和电子控制单元 (ECU) 命令控制车辆的运动.
  • RSU在捕获的车辆图像上进行图像处理,通过跟踪,配合和坐标分析来确定姿势.

主要成果:

  • 拟议的基于RSU的方法实现了准确和高效的车辆姿势检测.
  • 该系统满足动态车辆位置估计所必需的实时要求.
  • 实验结果证明了基于RSU的方法的有效性和可行性.

结论:

  • 基于RSU的车辆姿势检测方法为当前的技术挑战提供了可行的解决方案.
  • 这种方法通过减少错误和计算负载来显著改进现有方法.
  • 该方法非常适合在智能汽车中广泛实施,从而推进自动驾驶能力.