Trustworthy AI for CCAM

Projektinformationen

AI4CCAM

ID Finanzhilfevereinbarung: 101076911

DOI

10.3030/101076911

Projekt abgeschlossen

EK-Unterschriftsdatum 21 Oktober 2022

Startdatum 1 Januar 2023

Enddatum 31 März 2026

Finanziert unter

• Climate, Energy and Mobility

Gesamtkosten

€ 5 965 630,00

EU-Beitrag

€ 5 965 630,00

Koordiniert durch

SIMULA RESEARCH LABORATORY AS
Norway

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

Documents, reports (10)

AI4CCAM Validation Handbook

Use case implementation guidelines, KPI definition and validation methodologies. This deliverable is produced as part of T4.1.

Plan for dissemination and exploitation including communication activities (CDE)

Initial plan describing communication and dissemination activities. This deliverable is produced as part of T5.1

Integration of Human Gaze Models in Hybrid AI Models

Integrated report on the AI based scenario generation and prediction models integrating human gaze estimation models. This deliverable is produced as part of T2.2 and T2.3.

Innovation Registry and Patent Filing

Elicitation of project innovations in AI4CCAM registry and two patents filed. This deliverable is produced as part of T5.3

Plan for dissemination and exploitation including communication activities (CDE) - Initial Report and Updated Plan

Initial report on communication and dissemination activities and updated plan. This deliverable is produced as part of T5.1

AI4CCAM Use Cases Implementation and Validation

Report including KPI measurements, validation criteria and results, impact assessment, best practises and lessons learnt. This deliverable is produced as part of T4.2, T4.3, T4.4 and T4.5

AI4CCAM Trustworty AI Documentation Framework - Final Version

Inclusion of AI risks and cyber-threats, stakeholders' perceptions and biases, end-users and VRUs perceptions with recommendations on user acceptance. This deliverable is produced as part of T3.2.

AI4CCAM Trustworthy AI Documentation Framework - Initial Version

Guidelines for fairness and diversity, for improved transparency-led user agency, communication, and acceptance; Governance techniques for accountability in AI-based CCAM operations with ethical dilemma identification. This deliverable is produced as part of T3.2.

Methodology for Trustworthy AI in CCAM

Methodology including scenario description (9) with functional and Trustworthy AI requirements considering AI standards. This deliverable is produced as part of T1.1, T1.2 and T1.3

Plan for dissemination and exploitation including communication activities (CDE) - Final Report

Final report on communication and dissemination activities. This deliverable is produced as part of T5.1

Data Management Plan (1)

Data Management Plan (DMP) - Final Report

Final report on data management in the project. This deliverable is produced as part of Task 6.3.

Other (3)

Data-driven simulation scenarios

Scenarios containing use cases simulation of VRUs interactions with CAVs. This deliverable is produced as part of T4.3

Participatory AI4CCAM Space - Final Version

Final version with AI risks and security threats discussion threads, data bias identification list, end-users and VRUs perception topics. This deliverable is produced as part of T3.3.

Participatory AI4CCAM Space - Initial Version

Initial version of the participatory space with Trustworthy AI in CCAM, CAV User Acceptance topics and Q/A. This deliverable is produced as part of T3.1

Demonstrators, pilots, prototypes (1)

CAV-VRU Interaction Demonstrator

Demonstrator of different scenarios of CAV-VRU interactions using ‘digital eyes’ and artificial gaze feedback as a mean of non-verbal communication. This deliverable is part of Task 4.4.

Veröffentlichungen

Peer reviewed articles (7)

Towards Trustworthy Automated Driving through Qualitative Scene Understanding and Explanations

Autoren: Nassim Belmecheri, Arnaud Gotlieb, Nadjib Lazaar and Helge Spieker
Veröffentlicht in: SAE International Journal of Connected and Automated Vehicles, 2024, ISSN 2574-0741
Herausgeber: SAE International
DOI: 10.48550/arXiv.2403.16908

Query-driven Qualitative Constraint Acquisition

Autoren: Mohamed-Bachir Belaid, Nassim Belmecheri, Arnaud Gotlieb, Nadjib Lazaar, Helge Spieker
Veröffentlicht in: Journal of Artificial Intelligence Research, Ausgabe 79, 2024, ISSN 1076-9757
Herausgeber: AAAI Press
DOI: 10.1613/jair.1.14752

Rashomon in the Streets: Explanation Ambiguity in Scene Understanding

Autoren: Helge Spieker, Jørn Eirik Betten, Arnaud Gotlieb, Nadjib Lazaar, Nassim Belmecheri
Veröffentlicht in: Proceedings of the AAAI Symposium Series, Ausgabe 7, 2025, ISSN 2994-4317
Herausgeber: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.48550/ARXIV.2509.03169

Hybrid SIEM Architecture for Connected and Automated Vehicles

Autoren: Marwan Lazrag, Badis Hammi, Joaquin Garcia-Alfaro, Andrea Araldo, Sherali Zeadally
Veröffentlicht in: IEEE Consumer Electronics Magazine, 2026, ISSN 2162-2256
Herausgeber: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/MCE.2026.3722161

Metamorphic Testing of Multimodal Human Trajectory Prediction

Autoren: Helge Spieker, Nadjib Lazaar, Arnaud Gotlieb, Nassim Belmecheri
Veröffentlicht in: Information and Software Technology, Ausgabe 188, 2025, ISSN 0950-5849
Herausgeber: Elsevier BV
DOI: 10.48550/ARXIV.2509.01294

Boosting the learning for ranking patterns

Autoren: Nassim Belmecheri, Noureddine Aribi, Nadjib Lazaar, Yahia Lebbah, Samir Loudni
Veröffentlicht in: algorithms, 2023, ISSN 1999-4893
Herausgeber: MDPI Open Access Publishing
DOI: 10.48550/arXiv.2203.02696

Monitoring Vulnerabilities in Next-Generation Automotive Operating Systems

Autoren: Dimitri Simon, Badis Hammi, Joaquin Garcia-Alfaro, Hervé Debar
Veröffentlicht in: IEEE Internet of Things Journal, 2026, ISSN 2327-4662
Herausgeber: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/JIOT.2026.3711962

Other (3)

Acquiring Qualitative Explainable Graphs for Automated Driving Scene Interpretation

Autoren: Belmecheri, Nassim; Gotlieb, Arnaud; Lazaar, Nadjib; Spieker, Helge
Veröffentlicht in: arXiv, 2023
Herausgeber: Arxiv
DOI: 10.48550/arxiv.2308.12755

Trustworthy Automated Driving through Qualitative Scene Understanding and Explanations

Autoren: Nassim Belmecheri, Arnaud Gotlieb, Nadjib Lazaar, Helge Spieker
Veröffentlicht in: Transport Research Arena (TRA'24), 2024
Herausgeber: arXiv
DOI: 10.48550/ARXIV.2403.09668

GSGFormer: Generative Social Graph Transformer for Multimodal Pedestrian Trajectory Prediction

Autoren: Zhongchang Luo, Marion Robin and Pavan Vasishta
Veröffentlicht in: arXiv, 2023
Herausgeber: arXiv
DOI: 10.48550/arXiv.2312.04479

Book chapters (3)

Context Matters: Contextual Value-Based Deliberation in Water Consumption Scenarios

Autoren: Luis Oliva-Felipe, Inês Lobo, Jack McKinlay, Frank Dignum, Marina De Vos, Ulises Cortés, Atia Cortés
Veröffentlicht in: Lecture Notes in Computer Science, Value Engineering in Artificial Intelligence, 2025
Herausgeber: Springer Nature Switzerland
DOI: 10.1007/978-3-031-85463-7_13

Explaining Autonomous Vehicles with Intention-Aware Policy Graphs

Autoren: Sara Montese, Victor Gimenez-Abalos, Atia Cortés, Ulises Cortés, Sergio Alvarez-Napagao
Veröffentlicht in: Lecture Notes in Computer Science, Explainable, Trustworthy, and Responsible AI and Multi-Agent Systems, 2026
Herausgeber: Springer Nature Switzerland
DOI: 10.48550/ARXIV.2505.08404

Quantifying the Impact Propagation of Cyber Attacks Using Business Logic Modeling

Autoren: Marwan Lazrag, Christophe Kiennert, Joaquin Garcia-Alfaro
Veröffentlicht in: Lecture Notes in Computer Science, Security and Privacy in Smart Environments, 2024
Herausgeber: Springer Nature Switzerland
DOI: 10.1007/978-3-031-66708-4_3

Conference proceedings (13)

Automatic Cause Determination in Road Scene Understanding Using Qualitative Reasoning and Four-Valued Logic

Autoren: Nassim Belmecheri, Arnaud Gotlieb, Nadjib Lazaar, Helge Spieker
Veröffentlicht in: 2025 IEEE Intelligent Vehicles Symposium (IV), 2025, ISSN 2642-7214
Herausgeber: IEEE
DOI: 10.1109/IV64158.2025.11097599

Learning Graph Representation of Agent Diffusers

Autoren: Youcef Djenouri, Nassim Belmecheri, Tomasz Michalak, Jan Dubiński, Ahmed Nabil Belbachir, Anis Yazidi
Herausgeber: ACM
DOI: 10.48550/ARXIV.2505.06761

Intention-aware Policy Graphs for Explainable Autonomous Driving

Autoren: Sara Montese, Victor Gimenez-Abalos, Atia Cortes, Ulises Cortés
Veröffentlicht in: 2025 IEEE Intelligent Vehicles Symposium (IV), 2025
Herausgeber: IEEE
DOI: 10.1109/IV64158.2025.11097511

ScenaGen: A CP Model for Grounding Qualitative Driving Scenarios

Autoren: Nassim Belmecheri, Arnaud Gotlieb, Nadjib Lazaar, Helge Spieker
Veröffentlicht in: 32nd International Conference on Principles and Practice of Constraint Programming (CP 2026)
Herausgeber: Schloss Dagstuhl – Leibniz-Zentrum für Informatik
DOI: 10.4230/LIPICS.CP.2026.4

Evaluating Human Trajectory Prediction with Metamorphic Testing

Autoren: Helge Spieker, Nassim Belmecheri, Arnaud Gotlieb, Nadjib Lazaar
Veröffentlicht in: MET'24: 9th ACM International Workshop on Metamorphic Testing, 2024
Herausgeber: ISSTA/ECOOP 2024
DOI: 10.48550/arXiv.2407.18756

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles

Autoren: Marwan Lazrag, Badis Hammi, Lorena Gonzalez-Manzano, Joaquin Garcia-Alfaro
Veröffentlicht in: Proceedings of the 23rd International Conference on Security and Cryptography, 2026
Herausgeber: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0015061100004103

Design and Evaluation of Differential and IPFS-Enabled OTA Updates Distribution for SDVs

Autoren: Sghaier, K., Hamza-Cherif, A., Merdrignac, P., Gharbi, G., Ksouri, C., Yengui, B., Hammi, B. & Verna
Veröffentlicht in: IEEE Vehicular Technology Conference (VTC-Spring) 2026
Herausgeber: IEEE

Relevant Object Identification from Qualitative Explainable Graphs in Automated Driving

Autoren: Belmecheri, N., Gotlieb, A., Lazaar, N., & Spieker
Veröffentlicht in: NORA – Norwegian Artificial Intelligence Research Consortium 2024, 2024
Herausgeber: NORA - Norwegian AI Research

Shapley Consensus Deep Learning for Ensemble Pruning

Autoren: Youcef Djenouri, Ahmed Nabil Belbachir, Asma Belhadi, Nassim Belmecheri, Tomasz Michalak
Veröffentlicht in: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025
Herausgeber: IEEE
DOI: 10.1109/WACV61041.2025.00648

Socially Aware Robot for Reward, Effort, and Risk Distribution

Autoren: Sandra Victor, Bruno Yun, Chefou AR Mamadou Toura, Enzo Indino, Madalina Croitoru, Gowrishankar Ganesh
Veröffentlicht in: Companion Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction, 2026
Herausgeber: ACM
DOI: 10.1145/3776734.3794458

Enhancing JAAD with Knowledge Graphs for Improved Pedestrian Crossing Predictions

Autoren: Sandra Victor, Gowrishankar Ganesh, Madalina Croitoru
Veröffentlicht in: Lecture Notes in Computer Science, Conceptual Knowledge Structures, 2024
Herausgeber: Springer Nature Switzerland
DOI: 10.1007/978-3-031-67868-4_21

Simulating Ethical Trade-Offs in Autonomous Driving

Autoren: John Mocettini, Atia Cortés, Luis Oliva-Felipe, Sergio Álvarez-Napagao
Veröffentlicht in: 2025 IEEE Intelligent Vehicles Symposium (IV), 2025
Herausgeber: IEEE
DOI: 10.1109/IV64158.2025.11097552

Explainable Scene Understanding with Qualitative Representations and Graph Neural Networks

Autoren: Nassim Belmecheri, Arnaud Gotlieb, Nadjib Lazaar, Helge Spieker
Veröffentlicht in: 2025 IEEE Intelligent Vehicles Symposium (IV), 2025
Herausgeber: IEEE
DOI: 10.48550/ARXIV.2504.12817