Uncertainty from Motion for DNN Monocular Depth Estimation
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 popu...
Main Authors: | , , |
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Other Authors: | , |
Format: | Article |
Language: | English |
Published: |
2022-04-06T15:22:45Z.
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Subjects: | |
Online Access: | Get fulltext |