Design, implementation and validation of a Level 2 automated driving vehicle reference architecture

Javier Saez-Perez, Julio Diez Tomillo, David Tena-Gago, Jose M. Alcaraz-Calero*, Qi Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

Automated vehicles represent a rapidly expanding global market, drawing significant attention from both industry and academia. However, existing solutions often lack transparency, particularly in the disclosure of architectural designs, resulting in fragmented development approaches. To address these gaps, this paper introduces a novel, modular reference architecture tailored for Level 2 Automated Driving Systems (ADS). The proposed architecture ensures safety, scalability, and adaptability across diverse vehicle platforms. A comprehensive validation is conducted using OpenPilot, an open-source Level 2 ADS implementation, demonstrating the architecture's practical feasibility in achieving reliable control tasks under real-time constraints. This work bridges the gap between industrial and academic contributions, offering actionable insights and a robust foundation for future advancements in ADS development.
Original languageEnglish
Article numbere70050
Number of pages19
JournalExpert Systems
Volume42
Issue number6
DOIs
Publication statusPublished - 5 May 2025

Keywords

  • ADAS
  • automated driving system
  • knowledge-based system
  • performance evaluation
  • system architecture

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