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Trustworthy AI for CCAM

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

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

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 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

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

Publikacje

Towards Trustworthy Automated Driving through Qualitative Scene Understanding and Explanations

Autorzy: Nassim Belmecheri, Arnaud Gotlieb, Nadjib Lazaar and Helge Spieker
Opublikowane w: SAE International Journal of Connected and Automated Vehicles, 2024, ISSN 2574-0741
Wydawca: SAE International
DOI: 10.48550/arXiv.2403.16908

Query-driven Qualitative Constraint Acquisition

Autorzy: Mohamed-Bachir Belaid, Nassim Belmecheri, Arnaud Gotlieb, Nadjib Lazaar, Helge Spieker
Opublikowane w: Journal of Artificial Intelligence Research, Numer 79, 2024, ISSN 1076-9757
Wydawca: AAAI Press
DOI: 10.1613/jair.1.14752

Boosting the learning for ranking patterns

Autorzy: Nassim Belmecheri, Noureddine Aribi, Nadjib Lazaar, Yahia Lebbah, Samir Loudni
Opublikowane w: algorithms, 2023, ISSN 1999-4893
Wydawca: MDPI Open Access Publishing
DOI: 10.48550/arXiv.2203.02696

Acquiring Qualitative Explainable Graphs for Automated Driving Scene Interpretation

Autorzy: Belmecheri, Nassim; Gotlieb, Arnaud; Lazaar, Nadjib; Spieker, Helge
Opublikowane w: arXiv, 2023
Wydawca: Arxiv
DOI: 10.48550/arxiv.2308.12755

Trustworthy Automated Driving through Qualitative Scene Understanding and Explanations

Autorzy: Nassim Belmecheri, Arnaud Gotlieb, Nadjib Lazaar, Helge Spieker
Opublikowane w: arXiv, 2024
Wydawca: arXiv
DOI: 10.48550/arXiv.2403.09668

GSGFormer: Generative Social Graph Transformer for Multimodal Pedestrian Trajectory Prediction

Autorzy: Zhongchang Luo, Marion Robin and Pavan Vasishta
Opublikowane w: arXiv, 2023
Wydawca: arXiv
DOI: 10.48550/arXiv.2312.04479

Evaluating Human Trajectory Prediction with Metamorphic Testing

Autorzy: Helge Spieker, Nassim Belmecheri, Arnaud Gotlieb, Nadjib Lazaar
Opublikowane w: MET'24: 9th ACM International Workshop on Metamorphic Testing, 2024
Wydawca: ISSTA/ECOOP 2024
DOI: 10.48550/arXiv.2407.18756

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