Research papers · Posted 2026.04.19 · Preprint

RISC-V Functional Safety for Autonomous Automotive Systems: An Analytical Framework and Research Roadmap for ML-Assisted Certification

RISC-V Functional Safety for Autonomous Automotive Systems: An Analytical Framework and Research Roadmap for ML-Assisted Certification

Overview

This analytical roadmap connects RISC-V architectural properties with automotive functional-safety evidence and qualification. It discusses potential ML assistance for FMEDA, fault injection, diagnostic coverage and safety-case development rather than presenting a certified implementation.

Author-supplied source information

Author-supplied information on arXiv.

11 pages, 3 figures, 4 tables. Analytical perspective paper on automotive-grade RISC-V functional safety, certification economics, and ML-assisted certification for autonomous driving systems

Version: v1

PARTICIPATION ENQUIRY

Participation enquiry

Your enquiry will be delivered by email. We will reply to the address you provide.

Email enquiries: info@battermachine.com