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View article: AITHENA: Towards a Trustworthy AI for CCAM Development
AITHENA: Towards a Trustworthy AI for CCAM Development Open
Connected and Cooperative Automotive Mobility (CCAM) solutions harness the power of Artificial Intelligence (AI) to develop driving functions that outperform humans under specific conditions. However, AI faces challenges in terms of explai…
View article: AWARE2ALL: Human Centric Interaction and Safety Systems for Increasing the Share of Automated Vehicles
AWARE2ALL: Human Centric Interaction and Safety Systems for Increasing the Share of Automated Vehicles Open
The AWARE2ALL project is designed to address the new challenges of Highly Automated Vehicles (HAVs) from a human-centric perspective. These vehicles will allow occupants to engage in non-driving activities, rising research questions about …
View article: DiverSim: A Customizable Simulation Tool to Generate Diverse Vulnerable Road User Datasets
DiverSim: A Customizable Simulation Tool to Generate Diverse Vulnerable Road User Datasets Open
View article: Efficient class‐agnostic obstacle detection for UAV‐assisted waterway inspection systems
Efficient class‐agnostic obstacle detection for UAV‐assisted waterway inspection systems Open
Ensuring the safety of water airport runways is essential for the correct operation of seaplane flights. Among other tasks, airport operators must identify and remove various objects that may have drifted into the runway area. In this pape…
View article: A Methodology to Enhance Transparency for Trustworthy Artificial Intelligence for Cooperative, Connected, and Automated Mobility
A Methodology to Enhance Transparency for Trustworthy Artificial Intelligence for Cooperative, Connected, and Automated Mobility Open
In this research, we propose a set of reporting documents to enhance transparency and trust in artificial intelligence (AI) systems for cooperative, connected, and automated mobility (CCAM) applications. By analyzing key documents on ethic…
View article: European Common Data Management Platform Definition for Railway AI Function Development
European Common Data Management Platform Definition for Railway AI Function Development Open
Digitalisation and automation of operations in the railway industry include the use of Automatic Train Operation systems that provide automated functions to reach different levels of automation, known as the Grade of Automation (GoA) level…
View article: Calibration-Accuracy Measurement in Railway Overlapping Multi-Camera Systems
Calibration-Accuracy Measurement in Railway Overlapping Multi-Camera Systems Open
View article: LiDAR-based curb detection for ground truth annotation in automated driving validation
LiDAR-based curb detection for ground truth annotation in automated driving validation Open
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 developing and validating an AD function. However, the number of pu…
View article: Correction to: WebLabel: OpenLABEL-compliant multi-sensor labelling
Correction to: WebLabel: OpenLABEL-compliant multi-sensor labelling Open
View article: Dynamic Risk Assessment Methodology with an LDM-Based System for Parking Scenarios
Dynamic Risk Assessment Methodology with an LDM-Based System for Parking Scenarios Open
This paper describes the methodology for building a dynamic risk assessment\nfor ADAS (Advanced Driving Assistance Systems) algorithms in parking scenarios,\nfusing exterior and interior perception for a better understanding of the scene\n…
View article: WebLabel: OpenLABEL-compliant multi-sensor labelling
WebLabel: OpenLABEL-compliant multi-sensor labelling Open
Annotated datasets have become crucial for training Machine Learning (ML) models for developing Autonomous Vehicles (AVs) and their functions. Generating these datasets usually involves a complex coordination of automation and manual effor…
View article: Automatic UAV-based airport pavement inspection using mixed real and virtual scenarios
Automatic UAV-based airport pavement inspection using mixed real and virtual scenarios Open
Runway and taxiway pavements are exposed to high stress during their\nprojected lifetime, which inevitably leads to a decrease in their condition\nover time. To make sure airport pavement condition ensure uninterrupted and\nresilient opera…
View article: Multi-camera BEV video-surveillance system for efficient monitoring of social distancing
Multi-camera BEV video-surveillance system for efficient monitoring of social distancing Open
View article: Common data management platform for artificial sense training and testing for railway applications
Common data management platform for artificial sense training and testing for railway applications Open
The railway sector is evolving towards digitalisation and automation. Automatic Train Operation (ATO) systems provide different degrees of operation autonomy according to the different Grade of Automation (GoA) levels. GoA3 (driverless) an…
View article: Efficient large-scale face clustering using an online Mixture of Gaussians
Efficient large-scale face clustering using an online Mixture of Gaussians Open
View article: Virtual passengers for real car solutions: synthetic datasets
Virtual passengers for real car solutions: synthetic datasets Open
Strategies that include the generation of synthetic data are beginning to be viable as obtaining real data can be logistically complicated, very expensive or slow. Not only the capture of the data can lead to complications, but also its an…
View article: RTMaps-based Local Dynamic Map for multi-ADAS data fusion
RTMaps-based Local Dynamic Map for multi-ADAS data fusion Open
Work on Local Dynamic Maps (LDM) implementation is still in its early stages, as the LDM standards only define how information shall be structured in databases, while the mechanism to fuse or link information across different layers is lef…
View article: 5G Features and Standards for Vehicle Data Exploitation
5G Features and Standards for Vehicle Data Exploitation Open
Cars capture and generate huge volumes of data in real-time about the driving dynamics, the environment, and the driver and passengers' activities. Due to the proliferation of cooperative, connected and automated mobility (CCAM), the value…
View article: Challenges of Large-Scale Multi-Camera Datasets for Driver Monitoring Systems
Challenges of Large-Scale Multi-Camera Datasets for Driver Monitoring Systems Open
Tremendous advances in advanced driver assistance systems (ADAS) have been possible thanks to the emergence of deep neural networks (DNN) and Big Data (BD) technologies. Huge volumes of data can be managed and consumed as training material…
View article: iLDM: An Interoperable Graph-Based Local Dynamic Map
iLDM: An Interoperable Graph-Based Local Dynamic Map Open
Local dynamic map (LDM) is a key component in the future of autonomous and connected vehicles. An LDM serves as a local database with the necessary tools to have a common reference system for both static data (i.e., map information) and dy…
View article: OpenLABEL-enriched KITTI Tracking scenarios
OpenLABEL-enriched KITTI Tracking scenarios Open
In HEADSTART T3.4 task, a conversion from the KITTI format into the ASAM OpenLABEL standard was performed. Additionally, several objects, actions, events, contexts and relations were added to the original annotations, creating richer descr…
View article: OpenLABEL-enriched KITTI Tracking scenarios
OpenLABEL-enriched KITTI Tracking scenarios Open
In HEADSTART T3.4 task, a conversion from the KITTI format into the ASAM OpenLABEL standard was performed. Additionally, several objects, actions, events, contexts and relations were added to the original annotations, creating richer descr…
View article: Ontolabeling: Re-Thinking Data Labeling For Computer Vision
Ontolabeling: Re-Thinking Data Labeling For Computer Vision Open
Paper published in NeurIPS 2021 Data-Centric AI workshop, 14 Dec. 2021
View article: Design and Implementation of an Ontology for Semantic Labeling and Testing: Automotive Global Ontology (AGO)
Design and Implementation of an Ontology for Semantic Labeling and Testing: Automotive Global Ontology (AGO) Open
Modern Artificial Intelligence (AI) methods can produce a large quantity of accurate and richly described data, in domains such as surveillance or automation. As a result, the need to organize data at a large scale in a semantic structure …
View article: MFR 2021: Masked Face Recognition Competition
MFR 2021: Masked Face Recognition Competition Open
This paper presents a summary of the Masked Face Recognition Competitions (MFR) held within the 2021 International Joint Conference on Biometrics (IJCB 2021). The competition attracted a total of 10 participating teams with valid submissio…
View article: MFR 2021: Masked Face Recognition Competition
MFR 2021: Masked Face Recognition Competition Open
This paper presents a summary of the Masked Face Recognition Competitions (MFR) held within the 2021 International Joint Conference on Biometrics (IJCB 2021). The competition attracted a total of 10 participating teams with valid submissio…
View article: Boosting Masked Face Recognition with Multi-Task ArcFace
Boosting Masked Face Recognition with Multi-Task ArcFace Open
In this paper, we address the problem of face recognition with masks. Given the global health crisis caused by COVID-19, mouth and nose-covering masks have become an essential everyday-clothing-accessory. This sanitary measure has put the …
View article: Multi-Stage Dynamic Batching and On-Demand I-Vector Clustering for Cost-effective Video Surveillance
Multi-Stage Dynamic Batching and On-Demand I-Vector Clustering for Cost-effective Video Surveillance Open
View article: Detection of Distraction-related Actions on DMD: An Image and a Video-based Approach Comparison
Detection of Distraction-related Actions on DMD: An Image and a Video-based Approach Comparison Open
View article: Boosting AI applications: Labeling format for complex datasets
Boosting AI applications: Labeling format for complex datasets Open