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相关概念视频

Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

38
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...
38
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

14
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...
14
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

19
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...
19

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相关实验视频

Updated: May 12, 2025

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
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使用LiDAR数据进行无实时车辆跟踪.

Yibin Zhang1,2, Qiyang Luo3, Shuichao Zhang1,2

  • 1School of Civil and Transportation Engineering, Ningbo University of Technology, Ningbo, Zhejiang, China.

PloS one
|May 9, 2025
PubMed
概括

这项研究引入了一种使用路边LiDAR数据的新实时车辆跟踪方法. 带有简单在线和实时跟踪 (SORT) 的逐点跟踪方法提高了智能运输系统的准确性和速度.

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科学领域:

  • 智能运输系统 (ITS) 是一种智能运输系统.
  • 计算机视觉 计算机视觉
  • 机器人技术 机器人技术 机器人技术

背景情况:

  • 准确的车辆轨迹数据对于开发智能交通系统 (ITS) 和支持互联和自动驾驶汽车 (CAV) 至关重要.
  • 激光雷达传感器提供实时微观车辆轨迹,但从原始点云精确跟踪是一个重大挑战.
  • 现有的跟踪方法通常依赖于边界框,这些框在某些情况下可能是计算密集型和不太准确的.

研究的目的:

  • 为路边LiDAR系统提出一种新的实时车辆跟踪机制.
  • 为了提高车辆轨迹生成的准确性和计算效率.
  • 调整简单的在线和实时跟踪 (SORT) 算法,以使用2D LiDAR数据进行逐点跟踪.

主要方法:

  • 开发了一个新的跟踪机制,将2D LiDAR数据结构与SORT算法集成在一起.
  • 取代了传统的界限框检测,采用了使用车辆中心点的逐点轨道方法.
  • 引入了一种新型索引,该索引包含LiDAR距离测量,用于精确的车辆空间定位.

主要成果:

  • 与传统的界限框方法相比,拟议的方法显示出更高的跟踪精度.
  • 新的跟踪机制实现了更快的计算速度,提高了实时应用的可行性.
  • 在信号交叉点使用32通道便携式LiDAR数据的评估验证了该方法的有效性.

结论:

  • 开发的轨道逐点跟踪方法显著改善了从路边LiDAR数据的实时车辆轨迹生成.
  • 这种方法为ITS应用程序提供了比传统的界限框方法更准确,更高效的计算替代方案.
  • 这些发现表明,互联和自动驾驶汽车的运营能力有前途.