Uncertainty from Motion for DNN Monocular Depth Estimation

Soumya Sudhakar,Vivienne Sze,Sertac Karaman,Soumya Sudhakar,Vivienne Sze,Sertac Karaman

Deployment of deep neural networks (DNNs) for monocular depth estimation in safety-critical scenarios on resource-constrained platforms requires well-calibrated and efficient uncertainty estimates. However, many popular uncertainty estimation techniques, including state-of-the-art ensembles and popular sampling-based methods, require multiple inferences per input, making them difficult to deploy i...