Uncertainty-Guided Enhancement on Driving Perception System via Foundation Models

Overview

The approach calibrates perception confidence and invokes a foundation model only when uncertainty exceeds a threshold. Temporal inference combines past predictions, with driving-data evaluations assessing accuracy gains and reduced model-query frequency.