Making the Case for Centralized Automotive E/E Architectures
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The rapidly increasing complexity of software in modern cars dictates new trends in electrical and/or electronic (E/E) automotive architectures. As a result, many original equipment manufacturers (OEMs) and suppliers have been advocating centralized E/E architectures as the automotive architectures of the future. In this article we make the case for centralized E/E architectures in the automotive industry. We discuss the motivation for centralized architectural schemes by carefully examining challenges and drawbacks of the traditional decentralized automotive E/E architectures, while contrasting with the corresponding benefits offered by centralization. Then, the technologies required to support new centralized architectures are discussed in detail. In particular, we present the state of the art in networking technologies, virtualization, electronic control unit (ECU) hardware and AUTOSAR, and discuss the state of adoption of these technologies in industry. Throughout, functional safety is considered and addressed as an overarching concern in the automotive industry.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it