Michael Smart

BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors

When incorporating deep neural networks into robotic systems, a major challenge is the lack of uncertainty measures associated with their output predictions. Methods for uncertainty estimation in the output of deep object detectors (DNNs) have been proposed in recent works, but have had limited succ…