21 citations · 25 across the 2 of their papers we have counts for
2 papers
cs.RO2021★ 4 cited
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…
cs.LG2020★ 21 cited
A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle Applications
Fabio Arnez, Huascar Espinoza, Ansgar Radermacher +1
A key factor for ensuring safety in Autonomous Vehicles (AVs) is to avoid any abnormal behaviors under undesirable and unpredicted circumstances. As AVs increasingly rely on Deep N…