13 citations · 26 across the 10 of their papers we have counts for
10 papers
Assessing the Challenges of Collective Perception via V2I Communications in High-Speed Scenarios with Open Road Testing
Jon Ander Iñiguez de Gordoa, Iker Alkorta, Itziar Urbieta +2
This paper presents a comprehensive end-to-end evaluation of an infrastructure-assisted collective perception (ICP) system deployed on a highway using ITS-G5 technology. Open-road…
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…
Data streaming platform for crowd-sourced vehicle dataset generation
Felipe Mogollon, Zaloa Fernandez, Angel Martin +2
Vehicles are sophisticated machines equipped with sensors that provide real-time data for onboard driving assistance systems. Due to the wide variety of traffic, road, and weather…
Edge Dynamic Map architecture for C-ITS applications
Mikel García, Gorka Velez, Josu Pérez +3
Cooperative Intelligent Transport Systems (C-ITS) create, share and process massive amounts of data which needs to be real-time managed to enable new cooperative and autonomous dri…
Synthetic outlier generation for anomaly detection in autonomous driving
Martin Bikandi, Gorka Velez, Naiara Aginako +1
Anomaly detection, or outlier detection, is a crucial task in various domains to identify instances that significantly deviate from established patterns or the majority of data. In…
Life cycle management of automotive data functions in MEC infrastructures
Mikel Seron, Angel Martin, Gorka Velez
Cars capture and generate huge volumes of data in real-time, including the driving dynamics, the environment, and the driver and passengers' activities. With the proliferation of C…