Evaluation of lateral, longitudinal, and vertical protection levels from our approach. We compare protection levels computed by our trained model using DNN covariance, epistemic uncertainty, and outlier weighting (VAR+EO); DNN covariance and epistemic uncertainty (VAR+E); and only using the DNN covariance (VAR). Incorporating epistemic uncertainty results in lower failure rate while incorporating outlier weights reduces bound gap and false alarm rate