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相关概念视频

Distance Measurements by Taping01:18

Distance Measurements by Taping

38
Tapes are essential in surveying for accurate, durable, and short-distance measurements. Made from lightweight, nylon-coated steel, they offer flexibility and strength for rugged outdoor use. The nylon coating protects against rust and wear, extending the tape's life. Standard lengths, around 30 meters, are marked in meters and millimeters for precision.Surveyors select tapes based on site conditions and accuracy needs. Lightweight, nylon-coated tapes are commonly used for ease of handling and...
38
Sight Distance in a Vertical Curve01:29

Sight Distance in a Vertical Curve

46
Sight distance on vertical curves is critical in roadway design. It ensures drivers can see far enough ahead to identify and respond to hazards effectively. This directly impacts safety, driver comfort, and the overall efficiency of the transportation network.Vertical curves are classified into crest and sag curves based on their geometry. For crest curves, sight distance is determined by the line of sight between a driver's eye and a small object on the road's surface. Design parameters for...
46
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

651
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
651
Design Example: Measuring Distance Between Two Points with Obstructions01:10

Design Example: Measuring Distance Between Two Points with Obstructions

38
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...
38
Distance Corrections01:15

Distance Corrections

28
To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
28
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

402
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
402

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相关实验视频

Updated: Jul 2, 2025

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery
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基于单眼视觉的虚拟合列车距离估计.

Yang Hao1,2, Tao Tang1, Chunhai Gao2

  • 1School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China.

Sensors (Basel, Switzerland)
|February 24, 2024
PubMed
概括
此摘要是机器生成的。

一个新的基于视觉的系统准确地估计了城市轨道交通中的虚拟合 (VC) 列车距离. 这种方法通过为通信依赖的VC操作提供可靠的备份来提高安全性.

关键词:
自动驾驶自动驾驶的自动驾驶.单眼视力 单眼视力 单眼视力对象检测检测对象检测对象检测城市铁路运输城市铁路运输

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相关实验视频

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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
  • 城市轨道交通工程 城市轨道交通工程

背景情况:

  • 城市铁路运输中的虚拟合 (VC) 提供了运营灵活性,但依赖于火车之间的通信来测量距离.
  • 虚拟控制系统的通信故障会由于可能的距离错误计算而带来重大安全风险.

研究的目的:

  • 开发和验证使用单眼视觉进行虚拟合的强大的距离估计框架.
  • 通过提供通信独立的距离测量解决方案,提高虚拟合操作的安全性和可靠性.

主要方法:

  • 使用一个具有增强特征金字塔的物体检测神经网络,邻居区域标签和语义过来提取目标列车的关键结构特征.
  • 使用多功能优化过程,准确估计合列车组之间的距离.

主要成果:

  • 拟议的单眼视觉框架实现了距离估计,绝对误差低于1米,列车距离在20米至100米之间.
  • 记录了不到1.5%的相对误差,证明了距离测量的高精度.
  • 在北京地铁11号线上成功进行了实验验证.

结论:

  • 基于单眼视觉的距离估计框架为依赖通信的虚拟合系统提供了可靠的备份.
  • 这项技术可以显著提高城市轨道交通中灵活列车运行的安全性和效率.