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20182026
most citedListening for Sirens: Locating and Classifying Acoustic Alarms in City Scenes

55 citations · 108 across the 8 of their papers we have counts for

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Showing cs.ROShow all

5 papers · 1 filter

cs.RO2024

A machine learning framework for acoustic reflector mapping

Usama Saqib, Letizia Marchegiani, Jesper Rindom Jensen

Sonar-based indoor mapping systems have been widely employed in robotics for several decades. While such systems are still the mainstream in underwater and pipe inspection settings…

cs.RO2024★ 1 cited

OORD: The Oxford Offroad Radar Dataset

Matthew Gadd, Daniele De Martini, Oliver Bartlett +11

There is a growing academic interest as well as commercial exploitation of millimetre-wave scanning radar for autonomous vehicle localisation and scene understanding. Although seve…

cs.RO2021★ 23 cited

Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images

Galadrielle Humblot-Renaux, Letizia Marchegiani, Thomas B. Moeslund +1

This work tackles scene understanding for outdoor robotic navigation, solely relying on images captured by an on-board camera. Conventional visual scene understanding interprets th…

cs.RO2020

Keep off the Grass: Permissible Driving Routes from Radar with Weak Audio Supervision

David Williams, Daniele De Martini, Matthew Gadd +2

Reliable outdoor deployment of mobile robots requires the robust identification of permissible driving routes in a given environment. The performance of LiDAR and vision-based perc…

cs.RO2019

Proactive Intention Recognition for Joint Human-Robot Search and Rescue Missions through Monte-Carlo Planning in POMDP Environments

Dimitri Ognibene, Lorenzo Mirante, Letizia Marchegiani

Proactively perceiving others' intentions is a crucial skill to effectively interact in unstructured, dynamic and novel environments. This work proposes a first step towards embedd…