Trustworthy AI for CCAM

Informazioni relative al progetto

AI4CCAM

ID dell’accordo di sovvenzione: 101076911

DOI

10.3030/101076911

Progetto chiuso

Data della firma CE 21 Ottobre 2022

Data di avvio 1 Gennaio 2023

Data di completamento 31 Marzo 2026

Finanziato da

• Climate, Energy and Mobility

Costo totale

€ 5 965 630,00

Contributo UE

€ 5 965 630,00

Coordinato da

SIMULA RESEARCH LABORATORY AS
Norway

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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.

Pubblicazioni

Peer reviewed articles (7)

Towards Trustworthy Automated Driving through Qualitative Scene Understanding and Explanations

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

Query-driven Qualitative Constraint Acquisition

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

Rashomon in the Streets: Explanation Ambiguity in Scene Understanding

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

Hybrid SIEM Architecture for Connected and Automated Vehicles

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

Metamorphic Testing of Multimodal Human Trajectory Prediction

Autori: Helge Spieker, Nadjib Lazaar, Arnaud Gotlieb, Nassim Belmecheri
Pubblicato in: Information and Software Technology, Numero 188, 2025, ISSN 0950-5849
Editore: Elsevier BV
DOI: 10.48550/ARXIV.2509.01294

Boosting the learning for ranking patterns

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

Monitoring Vulnerabilities in Next-Generation Automotive Operating Systems

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

Other (3)

Acquiring Qualitative Explainable Graphs for Automated Driving Scene Interpretation

Autori: Belmecheri, Nassim; Gotlieb, Arnaud; Lazaar, Nadjib; Spieker, Helge
Pubblicato in: arXiv, 2023
Editore: Arxiv
DOI: 10.48550/arxiv.2308.12755

Trustworthy Automated Driving through Qualitative Scene Understanding and Explanations

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

GSGFormer: Generative Social Graph Transformer for Multimodal Pedestrian Trajectory Prediction

Autori: Zhongchang Luo, Marion Robin and Pavan Vasishta
Pubblicato in: arXiv, 2023
Editore: arXiv
DOI: 10.48550/arXiv.2312.04479

Book chapters (3)

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

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

Explaining Autonomous Vehicles with Intention-Aware Policy Graphs

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

Quantifying the Impact Propagation of Cyber Attacks Using Business Logic Modeling

Autori: Marwan Lazrag, Christophe Kiennert, Joaquin Garcia-Alfaro
Pubblicato in: Lecture Notes in Computer Science, Security and Privacy in Smart Environments, 2024
Editore: 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

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

Learning Graph Representation of Agent Diffusers

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

Intention-aware Policy Graphs for Explainable Autonomous Driving

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

ScenaGen: A CP Model for Grounding Qualitative Driving Scenarios

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

Evaluating Human Trajectory Prediction with Metamorphic Testing

Autori: Helge Spieker, Nassim Belmecheri, Arnaud Gotlieb, Nadjib Lazaar
Pubblicato in: MET'24: 9th ACM International Workshop on Metamorphic Testing, 2024
Editore: 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

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

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

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

Relevant Object Identification from Qualitative Explainable Graphs in Automated Driving

Autori: Belmecheri, N., Gotlieb, A., Lazaar, N., & Spieker
Pubblicato in: NORA – Norwegian Artificial Intelligence Research Consortium 2024, 2024
Editore: NORA - Norwegian AI Research

Shapley Consensus Deep Learning for Ensemble Pruning

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

Socially Aware Robot for Reward, Effort, and Risk Distribution

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

Enhancing JAAD with Knowledge Graphs for Improved Pedestrian Crossing Predictions

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

Simulating Ethical Trade-Offs in Autonomous Driving

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

Explainable Scene Understanding with Qualitative Representations and Graph Neural Networks

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