4 citations · 4 across the 4 of their papers we have counts for
6 papers
Synthesizing Traffic Datasets using Graph Neural Networks
Daniel Rodriguez-Criado, Maria Chli, Luis J. Manso +1
Traffic congestion in urban areas presents significant challenges, and Intelligent Transportation Systems (ITS) have sought to address these via automated and adaptive controls. Ho…
Multi-person 3D pose estimation from unlabelled data
Daniel Rodriguez-Criado, Pilar Bachiller, George Vogiatzis +1
Its numerous applications make multi-human 3D pose estimation a remarkably impactful area of research. Nevertheless, assuming a multiple-view system composed of several regular RGB…
A Graph Neural Network to Model Disruption in Human-Aware Robot Navigation
Pilar Bachiller, Daniel Rodriguez-Criado, Ronit R. Jorvekar +3
Autonomous navigation is a key skill for assistive and service robots. To be successful, robots have to minimise the disruption caused to humans while moving. This implies predicti…
Generation of Human-aware Navigation Maps using Graph Neural Networks
Daniel Rodriguez-Criado, Pilar Bachiller, Luis J. Manso
Minimising the discomfort caused by robots when navigating in social situations is crucial for them to be accepted. The paper presents a machine learning-based framework that boots…
A Toolkit to Generate Social Navigation Datasets
Rishabh Baghel, Aditya Kapoor, Pilar Bachiller +3
Social navigation datasets are necessary to assess social navigation algorithms and train machine learning algorithms. Most of the currently available datasets target pedestrians'…
Multi-camera Torso Pose Estimation using Graph Neural Networks
Daniel Rodriguez-Criado, Pilar Bachiller, Pablo Bustos +2
Estimating the location and orientation of humans is an essential skill for service and assistive robots. To achieve a reliable estimation in a wide area such as an apartment, mult…