152 citations
- University of the Basque CountryES17 papers
- Universidad de NavarraES5 papers
- Donostia International Physics CenterES3 papers
- IkerbasqueES3 papers
- Biogipuzkoa Health Research InstituteES2 papers
- Digital Research Alliance of Canada2 papers
- Politecnico di MilanoIT2 papers
- Tech FoundationUS2 papers
- Boeing (Spain)ES1 paper
- Boston CollegeUS1 paper
- Catholic University of Eastern AfricaKE1 paper
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18 papers · 1 filter
A Fully Interpretable Statistical Approach for Roadside LiDAR Background Subtraction
Aitor Iglesias, Nerea Aranjuelo, Patricia Javierre +3
We present a fully interpretable and flexible statistical method for background subtraction in roadside LiDAR data, aimed at enhancing infrastructure-based perception in automated…
Analysis of Classifier Training on Synthetic Data for Cross-Domain Datasets
Andoni Cortés, Clemente Rodríguez, Gorka Velez +2
A major challenges of deep learning (DL) is the necessity to collect huge amounts of training data. Often, the lack of a sufficiently large dataset discourages the use of DL in cer…
Learning Gaze-aware Compositional GAN
Nerea Aranjuelo, Siyu Huang, Ignacio Arganda-Carreras +4
Gaze-annotated facial data is crucial for training deep neural networks (DNNs) for gaze estimation. However, obtaining these data is labor-intensive and requires specialized equipm…
Dynamic Risk Assessment Methodology with an LDM-based System for Parking Scenarios
Paola Natalia Cañas, Mikel García, Nerea Aranjuelo +3
This paper describes the methodology for building a dynamic risk assessment for ADAS (Advanced Driving Assistance Systems) algorithms in parking scenarios, fusing exterior and inte…
Automatic UAV-based Airport Pavement Inspection Using Mixed Real and Virtual Scenarios
Pablo Alonso, Jon Ander Iñiguez de Gordoa, Juan Diego Ortega +3
Runway and taxiway pavements are exposed to high stress during their projected lifetime, which inevitably leads to a decrease in their condition over time. To make sure airport pav…
Methodology for generating synthetic labeled datasets for visual container inspection
Guillem Delgado, Andoni Cortés, Sara García +3
Nowadays, containerized freight transport is one of the most important transportation systems that is undergoing an automation process due to the Deep Learning success. However, it…