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相关概念视频

Areas Within Irregular Boundaries01:26

Areas Within Irregular Boundaries

344
Calculating areas within irregular boundaries, such as along rivers or curved roads, is crucial in various fields, including surveying, engineering, and environmental management. Surveyors often begin by creating a traverse, a connected series of straight lines approximating the area's boundary. The coordinates of each traverse point are essential for calculating the enclosed area. The double meridian distance formula is a widely used technique for this purpose. This method utilizes the...
344
Area Computation by the Alternative Coordinate Method01:24

Area Computation by the Alternative Coordinate Method

567
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...
567
Area Problem01:26

Area Problem

28
Determining the area of a region with straight edges is straightforward, as geometric formulas for rectangles, triangles, and polygons can be applied directly. However, traditional geometric methods are insufficient when a region has a curved boundary, such as the area under a function.fromThe area problem involves finding a systematic way to measure such regions. One approach to solving this problem is through approximation. Instead of attempting to compute the area exactly at the outset, the...
28
Topographic Surveying and Contours01:29

Topographic Surveying and Contours

845
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...
845
Manipulation and Analysis01:21

Manipulation and Analysis

292
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
292
Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

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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...
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相关实验视频

Updated: Jan 18, 2026

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通过地面特征和边界处理对地下自动驾驶车辆进行高效的可航行区域计算.

Miao Yu1, Yibo Du2, Xi Zhang1

  • 1School of Mechanical and Electrical Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China.

Sensors (Basel, Switzerland)
|September 13, 2025
PubMed
概括

本研究提出了一种新方法,用于地下矿山的自动驾驶车辆,以准确检测道边界,即使在可见度差的情况下. 该方法通过处理地面特征并实时完成边界,确保安全导航.

关键词:
3D点云是一个3D点云.自动驾驶自动驾驶的自动驾驶.边界检测检测 边界检测检测方向提取取出方向的方法地下矿山的地下矿山.

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科学领域:

  • 机器人技术和自主系统
  • 地理空间数据处理.
  • 采矿工程 采矿工程 采矿工程

背景情况:

  • 地下采矿给自动驾驶汽车带来了独特的挑战,包括照明不佳,灰尘和水雾,这些都会降低传感器数据的质量.
  • 精确检测道边界对于防止碰撞和确保无轨轮车辆安全运行至关重要.

研究的目的:

  • 为地下自动驾驶车辆开发一个强大的可航行面积计算方法.
  • 解决因恶劣的环境条件和复杂的道几何形状造成的边界检测挑战.

主要方法:

  • 一个实时点云校正过程将LiDAR数据与车辆的坐标系统对齐.
  • 基于网格的投影方法从纠正的点云创建一个2D地图,减轻地面的不均.
  • 一种自适应的边界完成方法处理交叉点和分流室的不连续性,整合时间上下文以进行连续检测.

主要成果:

  • 拟议的方法可以准确地检测和一致地跟踪各种地下环境中的双面道边界 (直道,曲线,交叉点,变流室).
  • 在真实地下车辆数据上的实验验证证证了该方法的有效性和可靠性.
  • 该系统符合地下自动驾驶的严格要求.

结论:

  • 这种基于规则的实时解决方案对于资源有限的环境是可行的,在深度学习方法受到损害时,它提供了重要的安全备用.
  • 该方法为在具有挑战性的地下条件下运行的自动驾驶汽车提供了关键的安全冗余.