no code implementations • 15 Sep 2021 • Galadrielle Humblot-Renaux, Letizia Marchegiani, Thomas B. Moeslund, Rikke Gade
In a cross-dataset generalization experiment, we show that our affordance learning scheme can be applied across a diverse mix of datasets and improves driveability estimation in unseen environments compared to general-purpose, single-dataset segmentation.
no code implementations • 11 May 2020 • David Williams, Daniele De Martini, Matthew Gadd, Letizia Marchegiani, Paul Newman
Reliable outdoor deployment of mobile robots requires the robust identification of permissible driving routes in a given environment.
no code implementations • 11 Dec 2019 • Bruna G. Maciel-Pearson, Letizia Marchegiani, Samet Akcay, Amir Atapour-Abarghouei, James Garforth, Toby P. Breckon
With the rapidly growing expansion in the use of UAVs, the ability to autonomously navigate in varying environments and weather conditions remains a highly desirable but as-of-yet unsolved challenge.
no code implementations • 27 Aug 2019 • Dimitri Ognibene, Lorenzo Mirante, Letizia Marchegiani
Proactively perceiving others' intentions is a crucial skill to effectively interact in unstructured, dynamic and novel environments.
no code implementations • 11 Oct 2018 • Letizia Marchegiani, Paul Newman
This paper is about alerting acoustic event detection and sound source localisation in an urban scenario.