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相关概念视频

Methods of Obtaining Topography01:25

Methods of Obtaining Topography

68
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,...
68
Topographic Surveying and Contours01:29

Topographic Surveying and Contours

99
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...
99
Plotting of Topographic Maps01:29

Plotting of Topographic Maps

47
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,...
47
Introduction and Methods of Leveling01:26

Introduction and Methods of Leveling

113
Leveling is a surveying procedure used to determine elevation differences between distant points. Elevation refers to the vertical distance above or below a reference datum, typically mean sea level (MSL). In the United States, elevations are often referenced to the mean sea level station at Father Point Rimouski along the St. Lawrence Seaway. To make the datum accessible, permanent markers are established throughout the region. These markers, called benchmarks, have known elevations. If the...
113
Area Computation by the Alternative Coordinate Method01:24

Area Computation by the Alternative Coordinate Method

57
The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...
57
Differential Leveling01:12

Differential Leveling

185
Differential leveling is a precise method in surveying used to determine the elevation difference between two points. Its primary goal is to establish accurate vertical measurements to create level surfaces or grade lines critical for designing and constructing infrastructures such as roads, bridges, and buildings.The procedure for differential leveling begins with setting up and leveling the instrument at a point where the benchmark can be seen. The level rod is held on the benchmark (BM), and...
185

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Updated: Jul 9, 2025

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
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一种适应性的二维voxel地形绘图方法,用于结构化环境.

Hang Zhou1, Peng Ping1,2, Quan Shi1

  • 1School of Transportation and Civil Engineering, Nantong University, Nantong 226019, China.

Sensors (Basel, Switzerland)
|December 9, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了结构化室内环境中的脚机器人适应分辨率2D voxel 地形绘图 (ARVTM). 该方法提高了62.7%的地形绘图准确度和25.1%的速度.

关键词:
适应式的 voxel 语音脚机器人 脚机器人取出平面的取出平面这是一个先发制人的RANSAC.地形绘制地形绘制地形绘制地形

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科学领域:

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

背景情况:

  • 精确地形绘制对于脚型机器人导航和运动控制至关重要.
  • 现有的方法在结构化环境中可能会遇到不确定性和信息冗余的问题.

研究的目的:

  • 为室内结构化环境提出一种自适应分辨率的2D voxel 地形绘制 (ARVTM) 方法.
  • 为了提高脚型机器人的地形绘图的准确性和速度.

主要方法:

  • 构建了一个地形绘图框架,包括机器人姿势估计.
  • 将距离传感器测量结果转换为 voxel 网格中的地形高度信息.
  • 实施了下方采样,以减少数据冗余.
  • 使用先发性随机样本一致性 (先发性RANSAC) 算法进行平面提取和voxel合并.

主要成果:

  • 降低了62.7%的地形绘图误差.
  • 增加了25.1%的地形测绘速度.
  • 在结构化环境中有效地识别和提取平面特征.

结论:

  • 拟议的ARVTM算法提高了脚型机器人的地形绘图准确性和效率.
  • 该方法有效地处理不确定性,并减少信息复杂性.
  • ARVTM适用于结构化室内环境中的自适应分辨率映射.