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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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Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

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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...
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Adjusting a Traverse01:12

Adjusting a Traverse

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In the site survey of a four-sided traverse, internal angles are essential to ensure geometric accuracy. The survey revealed that the sum of the measured internal angles was 359 degrees and 48 minutes, which is 12 minutes less than the expected 360 degrees. This discrepancy signals an error likely arising from measurement inaccuracies during the fieldwork.To rectify this error, the adjustment process involved distributing the 12-minute shortfall equally across the four internal angles. By...
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Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

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Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
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Horizontal Curve: Problem Solving01:03

Horizontal Curve: Problem Solving

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A horizontal curve is characterized by its radius, intersection angle, and stationing of key points. In this case, the radius is 400 meters, and the angle of intersection is 30 degrees, with the station of the point of curvature (P.C.) at 0 + 150 meters. The goal is to determine the station values at the point of intersection (P.I.), point of tangency (P.T.), and midpoint of the curve, as well as the length of the long chord.The process begins with calculating the tangent distance (T) and the...
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Curvilinear Motion: Rectangular Components01:23

Curvilinear Motion: Rectangular Components

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Curvilinear motion characterizes the movement of a particle or object along a curved path, notably evident when envisioning a car navigating a winding road. If the car starts at point A, its position vector is established within a fixed frame of reference, where the ratio of the position vector to its magnitude signifies the unit vector pointing in the position vector's direction.
As the car advances, its position evolves over time. Quantifying the car's velocity involves computing the...
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Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking
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Detección automática de alineación de vías férreas en 3D mediante la transformada de Hough modificada

Jaehyuk Lee1, Jeongjun Park2, Hyunoh Shin3

  • 1School of Civil Engineering, Chungbuk National University, Cheongju, 28644, South Korea.

Scientific reports
|December 13, 2025
PubMed
Resumen
Este resumen es generado por máquina.

Este estudio presenta un método automatizado para detectar la alineación de vías férreas utilizando aprendizaje profundo y visión por computadora en datos de nubes de puntos 3D. El nuevo enfoque mejora la eficiencia y la precisión del modelado digital de vías férreas para el mantenimiento.

Palabras clave:
Aprendizaje profundoTransformada de HoughDatos de nube de puntosAlineación de vías férreasSegmentación semántica

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Área de la Ciencia:

  • Ingeniería Civil
  • Ciencias de la Computación
  • Tecnología Geoespacial

Sus antecedentes:

  • El mantenimiento de la infraestructura ferroviaria requiere una alineación precisa de las vías para garantizar la seguridad y la eficiencia.
  • Los métodos tradicionales de detección de alineación de vías son manuales, subjetivos y propensos a errores.
  • El modelado digital ofrece potencial para mejorar los procesos de mantenimiento de vías férreas.

Objetivo del estudio:

  • Desarrollar un método automatizado para detectar la alineación de vías férreas a partir de datos de nubes de puntos 3D.
  • Mejorar la eficiencia y precisión de la creación de modelos digitales de vías férreas.
  • Mejorar las operaciones generales de mantenimiento de vías férreas.

Principales métodos:

  • Se utilizaron técnicas de aprendizaje profundo y visión por computadora.
  • Se procesaron datos de nubes de puntos 3D para la detección de la alineación de vías férreas.
  • Se validó el método en la vía de prueba de Osong.

Principales resultados:

  • Se logró un Error Cuadrático Medio (RMSE) promedio de 3.57 mm en la detección de la alineación de la vía.
  • Se redujo significativamente el tiempo necesario para la construcción del modelo digital de la vía férrea.
  • Se demostró una mayor eficiencia en las tareas de mantenimiento de vías férreas.

Conclusiones:

  • El método automatizado propuesto ofrece una alternativa más precisa y eficiente a la detección manual de la alineación de vías férreas.
  • El aprendizaje profundo y la visión por computadora son herramientas eficaces para analizar datos de nubes de puntos 3D en la infraestructura ferroviaria.
  • El enfoque facilita la creación de modelos digitales fiables de vías férreas, apoyando mejores estrategias de mantenimiento.