Pollution Discrimination on Rail Surface for Adhesion Evaluation Using Hyperspectral Signatures - Archive ouverte HAL Access content directly
Conference Papers Year :

Pollution Discrimination on Rail Surface for Adhesion Evaluation Using Hyperspectral Signatures

Abstract

The ability to evaluate wheel-rail adhesion of trains on rail tracks is important in various fields of Intelligent Transportation System ITS: Environment Perception, Safety and Driver Support, Automatic Driving, Transport Management. Adhesion is degraded when rails are polluted. Each pollution material has its proper impact on adhesion. Moreover, each material (due to its composition) reflects the light in its own way, allowing it to differentiate itself from others. In this paper we will characterise recurrent rail pollutant using a custom light and spectrometer system and associate each spectrum with an adhesion or friction coefficient.
No file

Dates and versions

hal-01639662 , version 1 (20-11-2017)

Identifiers

  • HAL Id : hal-01639662 , version 1

Cite

Claire Nicodeme, Romain Ceolato, Bogdan Stanciulescu. Pollution Discrimination on Rail Surface for Adhesion Evaluation Using Hyperspectral Signatures. IEEE ITSC, Oct 2017, Yokohama, Japan. ⟨hal-01639662⟩
168 View
0 Download

Share

Gmail Facebook Twitter LinkedIn More