AIthena Fact Sheet on CORDIS
AIthena Roll-up
AIthena Flyer
Towards Cooperative, Connected and Automated Mobility – CINEA brochure
Building European capacity for Connected, Cooperative and Automated Mobility - CORDIS Results Pack
JRC Publications Repository: Research and innovation in Smart Mobility in Europe
AIthena public deliverables
AIthena’s public deliverables have been published in this section following approval by the European Commission/CINEA.
AITHENA_D1.1 Methodology for Assessing the Ethics, Transparency, Accountability, and Privacy of AI Based Systems in CCAM applications
AITHENA_D1.2 User group needs report and technical use case definition
AITHENA_D2.2 ML DevOps-oriented data lifecycle governance and provenance framework
AITHENA_D2.3 Privacy-preserving methods
AITHENA_D3.1 Life cycle management framework for machine learning models
AITHENA_D3.2 Report on initial AI algorithm development
AITHENA_D3.3 Report on final AI algorithm development
AITHENA_D4.2 Report on physical set-up, digital twin and hybrid testing approaches
AITHENA_D5.1 Testing and evaluation methodology for AI-driven CCAM systems
AITHENA_D5.2 Report on initial use case evaluation
AITHENA_D5.3 Report on final use case evaluation
AITHENA_D6.1 Initial Communication, Dissemination and Standardisation Plan
AITHENA_D6.2 Report on data sharing and integration with European data lakes, OpenData and OpenTool
AITHENA_D6.3 Lessons learned and policy recommendations
AITHENA_D6.4 (public version) Driving Impact: AIthena’s Roadmap for AI Business Opportunities in CCAM
AITHENA_D6.5 Report on dissemination and standardisation activities
AITHENA_D6.6 Updated Communication, Dissemination and Standardisation Plan
An Evaluation of Time-triggered Scheduling in the Linux Kernel
Authors: Paraskevas Karachatzis, Jan Ruh, Silviu S. Craciunas (TTTech Computertechnik AG, Vienna, Austria)
Digital twin for synthetic data generation - application for automated driving systems
Authors: Hassan Hotait (HAN – University of Applied Sciences), Alexandru Forrai (Siemens Industry Software Netherlands B.V.)
Runtime Safety Assurance of Autonomous Vehicles
Authors: A. Forrai (Siemens Industry Software Netherlands B.V.), V. Neelgundmath, K.K. Unni, I. Barosan (Eindhoven University of Technology)
Explainable Multi-Camera 3D Object Detection with Transformer-Based Saliency Maps
Authors: Till Beemelmanns, Wassim Zahr, Lutz Eckstein (RWTH Aachen University)
Trustworthiness Assurance Assessment for High-Risk AI-Based Systems
Authors: Georg Stettinger (Infineon Technologies AG); Patrick Weissensteiner (Virtual Vehicle Research GmbH); Siddartha Khastgir (International Manufacturing Centre, The University of Warwick)
AITHENA: towards a trustworthy AI for CCAM development
Authors: Oihana Otaegui (Vicomtech, Spain), Marcos Nieto (Vicomtech, Spain), Sinziana Ioana Rasca (Rupprect Consulting, Germany), Jos den Ouden (Technical University of Eindhoven, The Neetherlands), Carles Ubach (IDIADA, Spain), Michael Stolz (Virtual Vehicle, Austria), Justyna Beckmann (FIA, France)
LaANIL: ANIL with Look-Ahead Meta-Optimization and Data Parallelism
Authors: Vasu Tammisetti (Infineon Technologies AG; University of Granada), Kay Bierzynski (Infineon Technologies AG), Georg Stettinger (Infineon Technologies AG), Diego P. Morales-Santos (University of Granada), Manuel Pegalajar Cuellar (University of Granada) and Miguel Molina-Solana (University of Granada).
WebLabel: OpenLABEL‑compliant multi‑sensor labelling
Authors: Itziar Urbieta (Vicomtech Foundation, Basque Research and Technology Alliance; University of the Basque Country) , Andoni Mujika, Gonzalo Piérola, Eider Irigoyen, Marcos Nieto, Estibaliz Loyo (Vicomtech Foundation, Basque Research and Technology Alliance), Naiara Aginako (University of the Basque Country)
MultiCorrupt: A Multi-Modal Robustness Dataset and Benchmark of LiDAR-Camera Fusion for 3D Object Detection
Authors: Till Beemelmanns (Institute for Automotive Engineering, RWTH Aachen University), Quan Zhang (TU Berlin), Christian Geller (Institute for Automotive Engineering, RWTH Aachen University), Lutz Eckstein (Institute for Automotive Engineering, RWTH Aachen University)
Toward Explainability in Urban Motion Prediction—Survey and Outlook
Authors: Ilma Okanovic (Virtual Vehicle Research GmbH, Autonomous Systems, Austria), Michael Stolz (Virtual Vehicle Research GmbH, Austria), Bernhard Hillbrand (Virtual Vehicle Research GmbH, Austria)
A Methodology to Enhance Transparency for Trustworthy Artificial Intelligence for Cooperative, Connected, and Automated Mobility
Authors: Paola Natalia Cañas (Basque Research and Technology Alliance (BRTA), Fundación Vicomtech, Spain; University of the Basque Country (UPV/EHU), Spain); Marcos Nieto (Basque Research and Technology Alliance (BRTA), Fundación Vicomtech, Spain); Oihana Otaegui (Basque Research and Technology Alliance (BRTA), Fundación Vicomtech, Spain); Igor Rodriguez (University of the Basque Country (UPV/EHU), Spain)
V2AIX: A Multi-Modal Real-World Dataset of ETSI ITS V2X Messages in Public Road Traffic
Authors: Guido Kueppers, Jean-Pierre Busch, Lennart Reiher, Lutz Eckstein (Institute for Automotive Engineering (ika), RWTH Aachen University)
A Multimodal Sensor Setup for In Situ Comparison of Driving Dynamics, Physiological Responses and Passenger Comfort in Autonomous Vehicles
Authors: Harald Devriendt, Mathieu Sarrazin, Thomas D’hondt, Konstantinos Gkentsidis, Karl Janssens (Test RTD, Siemens DI SISW, Leuven, Belgium)
Explainable Safety Argumentation for the Deployment of Automated Vehicles
Authors: Patrick Weissensteiner and Georg Stettinger (Infineon Technologies AG)
Meta-YOLOv8: Meta-Learning-Enhanced YOLOv8 for Precise Traffic Light Color Detection in ADAS
Authors: Vasu Tammisetti (Infineon Technologies AG; University of Granada), Georg Stettinger (Infineon Technologies AG), Manuel Pegalajar Cuellar (University of Granada) and Miguel Molina-Solana (University of Granada).
OCCUQ: Exploring Efficient Uncertainty Quantification for 3D Occupancy Prediction
Authors: Severin Heidrich (Institute for Automotive Engineering, RWTH Aachen), Till Beemelmanns (Institute for Automotive Engineering, RWTH Aachen), Alexey Nekrasov (Computer Vision Institute, Aachen), Bastian Leibe (Computer Vision Institute, Aachen), Lutz Eckstein (Institute for Automotive Engineering, RWTH Aachen)
Generative AI for Privacy Protection of Images in Autonomous Vehicles
Authors: Ruben Naranjo (Fundación Vicomtech, Basque Research and Technology Alliance, Spain; University of the Basque Country (UPV/EHU), Spain), Nerea Aranjuelo (Fundación Vicomtech, Basque Research and Technology Alliance, Spain), Marcos Nieto (Fundación Vicomtech, Basque Research and Technology Alliance, Spain), Oihana Otaegui (Fundación Vicomtech, Basque Research and Technology Alliance, Spain), and Itsaso Rodriguez-Moreno (University of the Basque Country (UPV/EHU), Spain)
Exploring the potential of standardized behavior competencies in automated driving systems
Authors: Georg Stettinger (Infineon Technologies AG), Patrick Weissensteiner (Infineon Technologies AG), Nayel Fabian Salem (Technische Universität Braunschweig), Marcus Nolte (Technische Universität Braunschweig), Siddartha Khastgir (WMG, University of Warwick)
Identifying the influence of different environmental factors on driving behavior using behavioral data : Enrichment of trajectory data with information on existing environmental conditions
Authors: Guido Linden, Lutz Eckstein (Institut für Kraftfahrzeuge (ika), RWTH Aachen)
SYNTHETIC DATA DESCRIPTION - Data generated using Simcenter Prescan
Authors: Alexandru Forrai (Siemens Industry Software Netherlands, B.V.)
Synthetic data set generated using Simcenter Prescan - Vulnerable Road Users in urban driving scenario
Authors: Alexandru Forrai (Siemens Industry Software Netherlands, B.V.)
Supporting automated driving systems development with synthetic data
Authors: Alexandru Forrai and Hamid Abdolhay (Siemens Industry Software Netherlands, B.V.)
Rethinking Backbone Design for Lightweight 3D Object Detection in LiDAR
Authors: Adwait Chandorkar, Hasan Tercan, Tobias Meisen (Institute for TMDT, University of Wuppertal, Germany)
What Did I Learn? Operational Competence Assessment for AI-Based Trajectory Planners
Authors: Michiel Braat (Netherlands Organisation for Applied Scientific Research), Maren Buermann (Netherlands Organisation for Applied Scientific Research), Marijke van Weperen (Netherlands Organisation for Applied Scientific Research), Jan-Pieter Paardekooper (Netherlands Organisation for Applied Scientific Research and Radboud University)
Simplifying Traffic Anomaly Detection with Video Foundation Models
Authors: Svetlana Orlova, Tommie Kerssies, Brunó B. Englert, Gijs Dubbelman (Eindhoven University of Technology)
Bridging Trust, Safety, Efficiency and Innovation: AI and Explainable AI in Road Transport
Authors: Silvia Barbaro, Ted Zotos (International Road Transport Union – IRU)