Unifying expert knowledge and field data toward an enhanced scenario description for CAV certification: a comprehensive scenario-based approach

Authors

Nour‐Eddin El Faouzi (ORCID: https://orcid.org/0000-0002-6873-695X)
Pierre-Antoine Laharotte (ORCID: https://orcid.org/0000-0002-5826-897X)
Nicolas Saunier (ORCID: https://orcid.org/0000-0003-0218-7932)
Hugues Blache (ORCID: https://orcid.org/0000-0003-3430-1971)

Institutions

Université Claude Bernard Lyon 1 (FR)
Université Gustave Eiffel (FR)
Polytechnique Montréal (CA)

Publication Details

Journal: Journal of Intelligent Transportation Systems
Published: 2025-10-13
DOI: https://doi.org/10.1080/15472450.2025.2526401
Primary Topic: Autonomous Vehicle Technology and Safety
Type: article
Field-Weighted Citation Impact: 0.00

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article

Unifying expert knowledge and field data toward an enhanced scenario description for CAV certification: a comprehensive scenario-based approach

Nour‐Eddin El Faouzi, Pierre-Antoine Laharotte, Nicolas Saunier, Hugues Blache

Oct 13, 2025

Journal of Intelligent Transportation Systems

Autonomous Vehicle Technology and Safety

article

Unifying expert knowledge and field data toward an enhanced scenario description for CAV certification: a comprehensive scenario-based approach

Nour‐Eddin El Faouzi, Pierre-Antoine Laharotte, Nicolas Saunier, Hugues Blache

October 13, 2025article en

Abstract

No abstract available for this paper.

Journal of Intelligent Transportation Systems

Université Claude Bernard Lyon 1 (FR), Université Gustave Eiffel (FR), Polytechnique Montréal (CA)

Openalex Percentile: Top 68%

Autonomous Vehicle Technology and Safety

DOI Source OpenAlex

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Unifying expert knowledge and field data toward an enhanced scenario description for CAV certification: a comprehensive scenario-based approach — Nour‐Eddin El Faouzi, Pierre-Antoine Laharotte, et al. · Journal of Intelligent Transportation Systems (2025) | TGRS Research Map | TGRS