Evidential Deep Learning outperforms other methods in accuracy, calibration, and speed for uncertainty-aware scalar field reconstruction in aquatic environments using autonomous vehicles.
In: Proceedings of the 1994 IEEE International Conference on Neural Networks (ICNN)
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Uncertainty Estimation for Deep Reconstruction in Actuatic Disaster Scenarios with Autonomous Vehicles
Evidential Deep Learning outperforms other methods in accuracy, calibration, and speed for uncertainty-aware scalar field reconstruction in aquatic environments using autonomous vehicles.