activity
20192026
most citedCOLREGs-Informed RRT* for Collision Avoidance of Marine Crafts

30 citations · 42 across the 12 of their papers we have counts for

collaborators

13 papers

eess.SY2026

Multi-layer barrier adaptation of the discrete-time super-twisting controller

Antoine Thibault Vié, Leonid Fridman, Roberto Galeazzi +1

In digital sliding mode control implementations, discretization-induced chattering and inter-sample blindness can severely degrade the closed-loop performance, especially in case o…

cs.RO2026

Adaptive Entropy-Driven Sensor Selection in a Camera-LiDAR Particle Filter for Single-Vessel Tracking

Andrei Starodubov, Yaqub Aris Prabowo, Andreas Hadjipieris +2

Robust single-vessel tracking from fixed coastal platforms is hindered by modality-specific degradations: cameras suffer from illumination and visual clutter, while LiDAR performan…

eess.SY2024★ 1 cited

Stochastic COLREGs Evaluation for Safe Navigation under Uncertainty

Peter Nicholas Hansen, Dimitrios Papageorgiou, Roberto Galeazzi +1

The encounter situation between marine vessels determines how they should navigate to obey COLREGs, but time-varying and stochastic uncertainty in estimation of angles of encounter…

cs.RO2023

Autonomy for Ferries and Harbour Buses: a Collision Avoidance Perspective

Thomas T. Enevoldsen, Mogens Blanke, Roberto Galeazzi

This paper provides a collision avoidance perspective to maritime autonomy, in the shift towards Maritime Autonomous Surface Ships (MASS). In particular, the paper presents the dev…

cs.RO2022★ 3 cited

Informed Sampling-based Collision Avoidance with Least Deviation from the Nominal Path

Thomas T. Enevoldsen, Roberto Galeazzi

This paper addresses local path re-planning for -dimensional systems by introducing an informed sampling scheme and cost function to achieve collision avoidance with minimum dev…

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.RO2021★ 2 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…

cs.RO2021

Guaranteed Rejection-free Sampling Method Using Past Behaviours for Motion Planning of Autonomous Systems

Thomas T. Enevoldsen, Roberto Galeazzi

The paper presents a novel learning-based sampling strategy that guarantees rejection-free sampling of the free space under both biased and approximately uniform conditions, levera…

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…

cs.ET2021

2022 Roadmap on Neuromorphic Computing and Engineering

Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco +56

Modern computation based on the von Neumann architecture is today a mature cutting-edge science. In the Von Neumann architecture, processing and memory units are implemented as sep…

cs.RO2021★ 30 cited

COLREGs-Informed RRT* for Collision Avoidance of Marine Crafts

Thomas Thuesen Enevoldsen, Christopher Reinartz, Roberto Galeazzi

The paper proposes novel sampling strategies to compute the optimal path alteration of a surface vessel sailing in close quarters. Such strategy directly encodes the rules for safe…

eess.SY2021★ 3 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.SY2019★ 3 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…