Research papers · Posted 2025.08.25 · Preprint

Enhanced Drift-Aware Computer Vision Architecture for Autonomous Driving

Enhanced Drift-Aware Computer Vision Architecture for Autonomous Driving

Overview

The authors combine YOLO detection with a separate CNN verification stage in a hybrid vision architecture. Synthetic road images and drift-augmented tests explore robustness under unfamiliar conditions, with ISO 8800 providing the safety context.

Version: v1

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