Alfredo Peinado Gonzalo, M. Entezami, Clive Roberts, P. Weston, G. Yeo, R. Horridge, E. Stewart, M. Hayward, Matthew Rippin
{"title":"Observations on track evolution from onboard inertial measurements","authors":"Alfredo Peinado Gonzalo, M. Entezami, Clive Roberts, P. Weston, G. Yeo, R. Horridge, E. Stewart, M. Hayward, Matthew Rippin","doi":"10.1109/Control55989.2022.9781456","DOIUrl":null,"url":null,"abstract":"Distance estimation is necessary in railway track condition monitoring to evaluate the state of the track and locate faults. To do that, this paper proposes a novel method that combines an Inertial Measurement Unit (IMU) and Global Navigation Satellite System (GNSS) to estimate distance and then correct it using track geometry features such as crosslevel as a reference. This correction is used to align the track data accurately, which helps to observe the evolution of the track over a year and to evaluate the effects of track features such as tunnels, bridges, or switches and crosses, demonstrating that the distance estimation method is reliable and allows supervision of the track.","PeriodicalId":101892,"journal":{"name":"2022 UKACC 13th International Conference on Control (CONTROL)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 UKACC 13th International Conference on Control (CONTROL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/Control55989.2022.9781456","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Distance estimation is necessary in railway track condition monitoring to evaluate the state of the track and locate faults. To do that, this paper proposes a novel method that combines an Inertial Measurement Unit (IMU) and Global Navigation Satellite System (GNSS) to estimate distance and then correct it using track geometry features such as crosslevel as a reference. This correction is used to align the track data accurately, which helps to observe the evolution of the track over a year and to evaluate the effects of track features such as tunnels, bridges, or switches and crosses, demonstrating that the distance estimation method is reliable and allows supervision of the track.