activity
20192022
most citedIdentification of Behavioural Models for Railway Turnouts Monitoring

3 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2022

Cyber-resilience for marine navigation by information fusion and change detection

Dimitrios Dagdilelis, Mogens Blanke, Rasmus Hjorth Andersen +1

Cyber-resilience is an increasing concern in developing autonomous navigation solutions for marine vessels. This paper scrutinizes cyber-resilience properties of marine navigation…

cs.RO20212 cited

Grounding-aware RRT* for Path Planning and Safe Navigation of Marine Crafts in Confined Waters

Thomas T. Enevoldsen, Roberto Galeazzi

The paper presents a path planning algorithm based on RRT* that addresses the risk of grounding during evasive manoeuvres to avoid collision. The planner achieves this objective by…

eess.IV2021

RetinaNet Object Detector based on Analog-to-Spiking Neural Network Conversion

Joaquin Royo-Miquel, Silvia Tolu, Frederik E. T. Schöller +1

The paper proposes a method to convert a deep learning object detector into an equivalent spiking neural network. The aim is to provide a conversion framework that is not constrain…

eess.SY20213 cited

Monitoring of Railpad Long-term Condition in Turnouts Using Extreme Value Distributions

Pegah Barkhordari, Roberto Galeazzi, Mogens Blanke

The railpad is a key element in railway infrastructures that plays an essential role in the train-track dynamics. Presence of worn or defective railpads along railway track may lea…

eess.SY20193 cited

Identification of Behavioural Models for Railway Turnouts Monitoring

Pegah Barkhordari, Roberto Galeazzi, Alejandro de Miguel Tejada +1

This study introduces a low-complexity behavioural model to describe the dynamic response of railway turnouts due to the ballast and railpad components. The behavioural model shoul…