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