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相关概念视频

Topographic Surveying and Contours01:29

Topographic Surveying and Contours

834
Topographic surveying is critical for documenting the Earth's surface, focusing on capturing elevations, slopes, and natural and man-made features. It is essential in construction planning, water resource management, and land-use analysis. The primary outcome of such surveys is a topographic map, which uses contour lines to visually represent the shape and slope of the terrain, providing valuable insights into the landscape's characteristics.Contour lines are fundamental to understanding the...
834
Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

333
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...
333
Methods of Obtaining Topography01:25

Methods of Obtaining Topography

287
Topography involves measuring and mapping land elevations, natural features, and artificial structures to create accurate representations of the terrain. Topographic surveying relies on traditional and modern methods, each with distinct advantages and limitations.Traditional Surveying Methods:Transit stadia surveys and plane table surveys were widely used traditional surveying methods. These techniques relied on instruments like theodolites and stadia rods for measuring distances and angles,...
287
Plotting of Topographic Maps01:29

Plotting of Topographic Maps

451
Topographic maps represent the Earth's surface features using contour lines, which connect points of equal elevation to create a two-dimensional representation of three-dimensional terrain. Creating a topographic map requires a systematic approach.Begin by plotting a scaled grid and marking intersections corresponding to the survey's elevation data points. Assign elevation values at these intersections to build the base map. Next, determine contour levels using a consistent contour interval,...
451
Profile Leveling and Cross Sections01:26

Profile Leveling and Cross Sections

1.6K
Profile leveling and cross-sections are surveying methods used to determine and document terrain elevations for infrastructure projects such as highways, railroads, canals, and pipelines. These methods provide data for earthwork planning and alignment of proposed routes.  Profile leveling involves measuring elevations along a fixed line to create a vertical terrain profile. A surveyor sets up a leveling instrument at the benchmark (BM) and records a backsight (BS) to determine the...
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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

379
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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相关实验视频

Updated: Jan 16, 2026

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
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道路场景的基于轮的实例细分方法.

Longbao Wang1, Guanxiu Wang2, Xiaoliang Luo3

  • 1College of Computer Science and Software Engineering, Hohai University, Nanjing, China. wlb@hhu.edu.cn.

Scientific reports
|September 29, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了自动驾驶实例细分的新方法,提高了行人和车辆检测的准确性. 新技术提高了最初的轮精度和变形,从而带来更好的细分结果和更快的处理速度.

关键词:
图像处理 图像处理图像细分 图像细分 图像细分实例细分是指实例的细分.对象检测检测对象检测对象检测位置编码 位置编码

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科学领域:

  • 计算机视觉 计算机视觉
  • 人工智能的人工智能
  • 机器人技术 机器人技术 机器人技术

背景情况:

  • 实例细分对于自动驾驶至关重要,但目前基于轮的方法与不准确的初始轮作斗争.
  • 最初轮中的错误会扩散,阻碍后续的变形模块并增加学习复杂性.

研究的目的:

  • 在自动驾驶场景中提出准确和高效的实例细分的新方法.
  • 解决现有的基于轮的方法在处理复杂的道路场景信息方面的局限性.

主要方法:

  • 引入基于实例中心特征 (CIICF) 的直线初始化,用于精确的初始直线预测.
  • 基于差异化模块 (CDDM) 开发了基于1D卷积的轮变形,用于固有的位置学习.
  • 包含绝对位置编码,以增强模型的位置意识.

主要成果:

  • 在多个数据集 (Cityscapes,KINS,SBD) 中,CIICF和CDDM显著提高了最终轮精度.
  • 观察到的性能增长:6.9%,5.1%和9.1%的最终轮指标增加.
  • 与基线相比,增强了轮生成速度,从43.2 FPS提高到49.8 FPS.

结论:

  • 拟议的CIICF和CDDM方法提供卓越的性能,例如自动驾驶中的细分.
  • 这些进步有助于为自动驾驶汽车提供更强大,更有效的感知系统.
  • 改进的准确性和速度证明了现实应用的潜力.