Optimizing CNN Class Granularity for Power-Efficient Edge AI in Sudden Unintended Acceleration Verification

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Authors: HeeSeok Choi, Joon-Min Gil
Cited by: 0

Abstract

Given the growing number of vehicle accidents caused by unintended acceleration and braking failure, verifying Sudden Unintended Acceleration (SUA) incidents has become a persistent challenge. A central issue of debate is whe... | Find, read and cite all the research you need on Tech Science Press

Fields of Study & Subjects

Advanced Neural Network Applications Safety Systems Engineering in Autonomy Human-Automation Interaction and Safety

Publication details

Journal / source
Computers, materials & continua/Computers, materials & continua (Print)
Volume
87
Issue
2
Pages
1–10
Publication date
1 January 2026
Language
EN