All Outputs (2)

Automating condition monitoring of vegetation on railway trackbeds and embankments (2015)
Thesis
Nyberg, R. G. Automating condition monitoring of vegetation on railway trackbeds and embankments. (Thesis). Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/Output/462294

Vegetation growing on railway trackbeds and embankments present potential problems. The presence of vegetation threatens the safety of personnel inspecting the railway infrastructure. In addition vegetation growth clogs the ballast and results in ina... Read More about Automating condition monitoring of vegetation on railway trackbeds and embankments.

Machine vision approach for automating vegetation detection on railway tracks. (2013)
Journal Article
Yella, S., Nyberg, R., Payvar, B., Dougherty, M., & Gupta, N. K. (2013). Machine vision approach for automating vegetation detection on railway tracks. Journal of Intelligent Systems, 22, 179-196. https://doi.org/10.1515/jisys-2013-0017

The presence of vegetation on railway tracks (amongst other issues) threatens track safety and longevity. However, vegetation inspections in Sweden (and elsewhere in the world) are currently being carried out manually. Manually inspecting vegetation... Read More about Machine vision approach for automating vegetation detection on railway tracks..