21 citations · 35 across the 4 of their papers we have counts for
3 papers · 1 filter
Towards Dependable Autonomous Systems Based on Bayesian Deep Learning Components
Fabio Arnez, Huascar Espinoza, Ansgar Radermacher +1
As autonomous systems increasingly rely on Deep Neural Networks (DNN) to implement the navigation pipeline functions, uncertainty estimation methods have become paramount for estim…
Quantifying and Using System Uncertainty in UAV Navigation
Fabio Arnez, Ansgar Radermacher, Huascar Espinoza
As autonomous systems increasingly rely on Deep Neural Networks (DNN) to implement the navigation pipeline functions, uncertainty estimation methods have become paramount for estim…
Improving Robustness of Deep Neural Networks for Aerial Navigation by Incorporating Input Uncertainty
Fabio Arnez, Huascar Espinoza, Ansgar Radermacher +1
Uncertainty quantification methods are required in autonomous systems that include deep learning (DL) components to assess the confidence of their estimations. However, to successf…