Hardware Abstraction Layer for a European Software Defined Vehicle approach

Informazioni relative al progetto

HAL4SDV

ID dell’accordo di sovvenzione: 101139789

DOI

10.3030/101139789

Data della firma CE 5 Luglio 2024

Data di avvio 1 Aprile 2024

Data di completamento 31 Marzo 2027

Finanziato da

• Digital, Industry and Space

Costo totale

€ 61 616 801,25

Contributo UE

€ 17 079 262,09

Coordinato da

TTTECH COMPUTERTECHNIK AG
Austria

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 (7)

Report on the cooperation with the CSA „FEDERATE“

"Report on the cooperation activities between HAL4SDV and the CSA Project ""FEDERATE"" for the period M01 to M12"

Project Newsletter 1

Annual newsletter, P1

Requirements for the non-safety-relevant, non-differentiating open-source HAL4SDV Platform part

Report on the open source requirements for the non differentiating part of the requirements

Requirements for the HAL4SDV platform Tools

Description of the requirements of the HAL4SDV platform tools

Requirements for the demonstrators and the test-, and V&V-campaign

Description of the requirements for the demonstrators, the test and V&V campaign

Initial dissemination and exploitation plan

Description of the initial dissemination and exploitation activities and forecast for activities to come

Dissemination and communication report 1

Dissemination and communication report period 1 (M01 to M12)

Pubblicazioni

Conference proceedings (9)

Architectural Assurance of AI-Based Driving Functions in Software-Defined Vehicles

Autori: Weber, Sebastian; Scheerer, Max; Weber, Thomas
Pubblicato in: 2024 8th International Conference on System Reliability and Safety (ICSRS), 2024
Editore: IEEE
DOI: 10.1109/ICSRS63046.2024.10927546

Automated Polyhedron-based TDMA Schedule Design for Predictable Mixed-Criticality MPSoCs

Autori: Matthias Stammler, Florian Schade, Jürgen Becker
Pubblicato in: 2024 27th Euromicro Conference on Digital System Design (DSD), 2024
Editore: IEEE
DOI: 10.1109/DSD64264.2024.00060

Towards Data-Centric and Context-Aware Decision Making in Software-Defined Vehicles

Autori: Ella Peltonen, Vishaka Basnayake, Nada Elgendy, Benjamin Kämä, Pertti Seppänen, Tero Päivärinta
Pubblicato in: 2025 IEEE 22nd International Conference on Software Architecture Companion (ICSA-C), 2025
Editore: IEEE
DOI: 10.1109/ICSA-C65153.2025.00085

Adaptive Intrusion Mitigation in Software-Defined Vehicles Using Deep Reinforcement Learning

Autori: Harrison Kurunathan, Hazem Ismail Ali, Gowhar Javanmardi, Mohamed Eldefrawy, Miguel Gutiérrez Gaitán, Ramiro Robles, Patrick Yomsi, Eduardo Tovar
Pubblicato in: Proceedings of the 4th International Workshop on Real-time and IntelliGent Edge computing, 2025
Editore: ACM
DOI: 10.1145/3722567.3727848

Large Language Model assisted Transformation of Software Variants into a Software Product Line

Autori: Johannes Stümpfle, Devansh Atray, Nasser Jazdi, Michael Weyrich
Pubblicato in: 2025 IEEE/ACM 22nd International Conference on Software and Systems Reuse (ICSR), 2025
Editore: IEEE
DOI: 10.1109/ICSR66718.2025.00008

Multi-modal Summarization in Model-Based Engineering: Automotive Software Development Case Study

Autori: Nenad Petrovic, Yurui Zhang, Moaad Maaroufi, Kuo-Yi Chao, Lukasz Mazur, Fengjunjie Pan, Vahid Zolfaghari, Alois Knoll
Pubblicato in: 2025
Editore: ArXiv
DOI: 10.48550/ARXIV.2503.04506

Vehicle-to-Everything Services in 3GPP 5G Networks: An Empirical Analysis

Autori: Vishaka Basnayake, Prabhash Rathnayake, Ella Peltonen
Pubblicato in: Proceedings of the 8th International Workshop on Edge Systems, Analytics and Networking, 2025
Editore: ACM
DOI: 10.1145/3721888.3722094

Deep-Reinforcement-Learning-based Scheduler for Time-Aware Shaper in In-Vehicle Networks

Autori: Mohammadparsa Karimi, Majid Nabi, Andrew Nelson, Kees Goossens, and Twan Basten
Pubblicato in: 2025
Editore: TUE

ZeroCAN: Anomaly-Based Zero-Day Attack Detection in Vehicular CAN Bus Networks

Autori: Jonathan Rendel, William Balte, Harrison Kurunathan, Hazem Ismail Ali, Alexandre Dos Santos Roque, Wagner Ourique De Morais, Mahdi Fazeli
Pubblicato in: 2025 33rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), 2025
Editore: IEEE
DOI: 10.1109/PDP66500.2025.00025

Peer reviewed articles (1)

Navigating the Challenges and Opportunities of Securing Internet of Autonomous Vehicles With Lightweight Authentication

Autori: Hazem Ismail Ali, Harrison Kurunathan, Mohamed Hamdy Eldefrawy, Flavius Gruian, Magnus Jonsson
Pubblicato in: IEEE Access, Numero 13, 2025, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2025.3537800