A study on low-cost sensor fusion for automatic railway coupler inspection

Randika Kosala Wathavana Vithanage, Colin S. Harrison, Anjali K. M. DeSilva

Research output: Contribution to conferencePaperpeer-review


This paper presents findings of a case study conducted to introduce industrial robots into the inspection process of the electrical connector panel in automatic railway couplers. Detection and localization of smaller components in a highly unstructured and dynamic environment similar to a railway maintenance workshop is a non-trivial task. Therefore, a visual perception solution equipped with depth and RGB sensing hardware is suggested. The proposed solution is robust to environmental noise and precise positioning of the target with respect to the camera is not required. The accuracy of the overall system and robustness of the proposed solution are validated with the aid of well-established methodologies, data found in literature and on the actual coupler in usual working environments.
Original languageEnglish
Number of pages6
Publication statusPublished - 19 Sept 2018
Event10th Computer Science and Electronic Engineering (CEEC) - Colchester, United Kingdom
Duration: 19 Sept 201821 Sept 2018
Conference number: 10


Conference10th Computer Science and Electronic Engineering (CEEC)
Abbreviated titleCEEC
Country/TerritoryUnited Kingdom
Internet address


  • sensor fusion
  • railway maintenance
  • robotic vision
  • cameras
  • three-dimensional displays
  • couplers
  • robot vision systems
  • feature extraction
  • distortion
  • electric connectors
  • industrial robots
  • inspection
  • maintenance engineering
  • railway engineering


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