Literature DB >> 33498313

A Track Geometry Measuring System Based on Multibody Kinematics, Inertial Sensors and Computer Vision.

José L Escalona1, Pedro Urda1, Sergio Muñoz2.   

Abstract

This paper describes the kinematics used for the calculation of track geometric irregularities of a new Track Geometry Measuring System (TGMS) to be installed in railway vehicles. The TGMS includes a computer for data acquisition and process, a set of sensors including an inertial measuring unit (IMU, 3D gyroscope and 3D accelerometer), two video cameras and an encoder. The kinematic description, that is borrowed from the multibody dynamics analysis of railway vehicles used in computer simulation codes, is used to calculate the relative motion between the vehicle and the track, and also for the computer vision system and its calibration. The multibody framework is thus used to find the formulas that are needed to calculate the track irregularities (gauge, cross-level, alignment and vertical profile) as a function of sensor data. The TGMS has been experimentally tested in a 1:10 scaled vehicle and track specifically designed for this investigation. The geometric irregularities of a 90 m-scale track have been measured with an alternative and accurate method and the results are compared with the results of the TGMS. Results show a good agreement between both methods of calculation of the geometric irregularities.

Entities:  

Keywords:  computer vision; inertial sensors; multibody dynamics; rail vehicles; track irregularities

Year:  2021        PMID: 33498313      PMCID: PMC7864017          DOI: 10.3390/s21030683

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  3 in total

1.  Estimation of IMU and MARG orientation using a gradient descent algorithm.

Authors:  Sebastian O H Madgwick; Andrew J L Harrison; Andrew Vaidyanathan
Journal:  IEEE Int Conf Rehabil Robot       Date:  2011

2.  Application and Experimental Validation of a Multibody Model with Weakly Coupled Lateral and Vertical Dynamics to a Scaled Railway Vehicle.

Authors:  Pedro Urda; Sergio Muñoz; Javier F Aceituno; José L Escalona
Journal:  Sensors (Basel)       Date:  2020-07-01       Impact factor: 3.576

3.  Keeping a Good Attitude: A Quaternion-Based Orientation Filter for IMUs and MARGs.

Authors:  Roberto G Valenti; Ivan Dryanovski; Jizhong Xiao
Journal:  Sensors (Basel)       Date:  2015-08-06       Impact factor: 3.576

  3 in total
  2 in total

1.  Design and manufacture of a scaled railway track with mechanically variable geometry.

Authors:  Rosario Chamorro; Javier F Aceituno; Pedro Urda; Enrique Del Pozo; José L Escalona
Journal:  Sci Rep       Date:  2022-05-23       Impact factor: 4.996

2.  Intelligent Correction Method of Shooting Action Based on Computer Vision.

Authors:  Bo Li; Lei Wang; Hao Feng
Journal:  Comput Intell Neurosci       Date:  2022-07-11
  2 in total

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