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05/24/2023
Sampling-based Uncertainty Estimation for an Instance Segmentation Network
The examination of uncertainty in the predictions of machine learning (M...
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10/17/2022
Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving
Trajectory data analysis is an essential component for highly automated ...
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09/20/2021
Description of Corner Cases in Automated Driving: Goals and Challenges
Scaling the distribution of automated vehicles requires handling various...
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05/04/2021
Out-of-distribution Detection and Generation using Soft Brownian Offset Sampling and Autoencoders
Deep neural networks often suffer from overconfidence which can be partl...
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03/05/2021
An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving
Systems and functions that rely on machine learning (ML) are the basis o...
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01/14/2020