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相关概念视频

Design Example: Measuring Distance Between Two Points with Obstructions01:10

Design Example: Measuring Distance Between Two Points with Obstructions

33
When measuring distances in areas with physical obstructions, such as a lake in a field, surveyors must employ techniques to calculate accurate lengths without direct line measurements. One effective method is the offset technique, which allows for precise distance estimation over inaccessible stretches.In this scenario, a surveyor must measure a side of an area that crosses a lake. Since the measuring tape cannot span the lake, the surveyor begins by establishing a baseline that aligns with...
33
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

27
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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Common Leveling Mistakes and Errors01:17

Common Leveling Mistakes and Errors

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A survey team is tasked with determining the elevation difference between points Point A and Point B, separated by uneven terrain. They use a leveling instrument and a leveling rod.Common MistakesMisreading the Rod: During a backsight reading at Point A, the instrumentman observes the rod partially obscured by tall grass. Instead of reading 1.135 m, they mistakenly record 1.735 m due to the misalignment of the crosshair with the wrong graduation. This error adds 0.600 m to all subsequent...
71

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相关实验视频

Updated: Jun 25, 2025

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
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一个基于3D LiDAR的新型高精度铁路障碍物检测算法.

Zongliang Nan1,2, Guoan Zhu1,2, Xu Zhang3

  • 1Laboratory of All-Solid-State Light Sources, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China.

Sensors (Basel, Switzerland)
|May 25, 2024
PubMed
概括

本研究介绍了用于铁路安全的精确3D LiDAR障碍物检测算法. 该系统能够在15厘米长的障碍物中检测到95%以上的障碍物,从而提高了铁路安全性.

关键词:
李达尔 (LiDAR) 是一种激光雷达.在PCA中,PCA是PCA.这就是SFRERE.当地的ICP-ICP.铁路 铁路 铁路 铁路 铁路 铁路

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相关实验视频

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科学领域:

  • 机器人和自动化机器人与自动化
  • 铁路工程 铁路工程是指铁路工程.
  • 计算机视觉 计算机视觉

背景情况:

  • 确保铁路安全需要强大的障碍物检测系统.
  • 现有的方法面临着点云错误和不同地形的挑战.
  • 传统的固定值限制了障碍物检测算法的准确性.

研究的目的:

  • 开发一个高精度的障碍物检测算法,用于铁路使用3D机械LiDAR.
  • 为了提高点云的准确性和在各种铁路环境中提取轨道.
  • 提高障碍物检测系统的动态适应性和分类能力.

主要方法:

  • 开发了一种基于投影的校准方法和一种新的轨道提取算法.
  • 基于方向密度变化的调制函数可以动态调整检测值.
  • 主要组件分析 (PCA) 和局部代最接近点 (ICP) 用于特征分析和分类.

主要成果:

  • 该系统实现了超过95%的稳定检测率 (STDR),用于15cm x 15cm x 15cm的障碍物,在±25m的范围内.
  • 超过80%的STDR被记录在±20m内的10cm x 10cm x 10cm障碍物中.
  • 该算法有效地处理了地形变化,并保留了轨道点云特征.

结论:

  • 拟议的基于3D LiDAR的算法为铁路障碍物检测提供了一个可行的解决方案.
  • 新的校准,轨道提取和动态值方法显著提高了检测准确度.
  • 这项研究通过先进的障碍物检测技术,有助于提高铁路安全.