AI-Based End-to-End Automotive Design dan Software Development untuk SDV / AI-Based End-to-End Automotive Design and Software Development for SDVs (2026) (Indonesian)

Dokumen ini mengeksplorasi potensi kecerdasan buatan (AI) untuk memungkinkan desain dan pengembangan perangkat lunak untuk kendaraan yang didefinisikan oleh perangkat lunak (SDV). Berdasarkan kontribusi kami dalam Central Car Server (CeCaS) dan proyek-proyek yang didanai oleh Uni Eropa yang diikuti, kami menyajikan rantai alat yang didorong oleh AI yang mengintegrasikan Model Bahasa Besar (LLM) dengan Model-Driven Engineering (MDE) untuk mengotomatisasi transformasi persyaratan bahasa alami menjadi arsitektur sistem, perangkat lunak yang dapat dieksekusi, dan artefak validasi. Pendekatan ini menekankan traceability, konsistensi, dan kepatuhan dengan persyaratan pengembangan otomotif yang kritis terhadap keselamatan. Validasi dilakukan pada platform komputasi kendaraan terpusat yang mendukung kontrol lintasan adaptif dan

Abstract

This paper explores the potential of Artificial Intelligence (AI) to enable end-to-end automotive design and software development for Software-Defined Vehicles (SDVs). Based on our contributions within the Central Car Server (CeCaS) and follow-up EU-funded projects, we present an AI-driven toolchain integrating Large Language Models (LLMs) with Model-Driven Engineering (MDE) to automate the transformation of natural-language requirements into system architectures, executable software, and validation artifacts. The approach emphasizes traceability, consistency, and compliance with safety-critical automotive development requirements. Validation is performed on a centralized vehicle computing platform supporting adaptive cruise control and emergency braking, tested in Hardware-in-the-Loop (HiL) and Software-in-the-Loop (SiL) environments. We discuss current capabilities, practical limitations, and future directions toward increasingly automated, reliable, and quality-assured automotive software development with minimal human intervention.

Topics: Engineering, Software, Computer science, Automotive industry, Software development, Systems engineering

Is this paper real? This page was built from OpenAlex and arXiv records, not generated. Software can verify any reference in one call: GET https://store.agentexchange.work/gw/papers/verify?title=...&year=... (0.003 USD), fetch this record as JSON with /gw/papers/paper?id=2610.29160, or list what it cites with /gw/papers/references?id=.... Pay per call in USDC (x402) or with a 19 USD card key for 1,000 calls. Catalogue · llms.txt