152 citations · 165 across the 7 of their papers we have counts for
7 papers
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…
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…
LiDAR-based curb detection for ground truth annotation in automated driving validation
Jose Luis Apellániz, Mikel García, Nerea Aranjuelo +2
Curb detection is essential for environmental awareness in Automated Driving (AD), as it typically limits drivable and non-drivable areas. Annotated data are necessary for developi…
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…
3D Object Detection From LiDAR Data Using Distance Dependent Feature Extraction
Guus Engels, Nerea Aranjuelo, Ignacio Arganda-Carreras +2
This paper presents a new approach to 3D object detection that leverages the properties of the data obtained by a LiDAR sensor. State-of-the-art detectors use neural network archit…
Fully automatic detection and segmentation of abdominal aortic thrombus in post-operative CTA images using deep convolutional neural networks
Karen López-Linares, Nerea Aranjuelo, Luis Kabongo +6
Computerized Tomography Angiography (CTA) based follow-up of Abdominal Aortic Aneurysms (AAA) treated with Endovascular Aneurysm Repair (EVAR) is essential to evaluate the progress…