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10/20/2022
XC: Exploring Quantitative Use Cases for Explanations in 3D Object Detection
Explainable AI (XAI) methods are frequently applied to obtain qualitativ...
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09/28/2022
Out-of-Distribution Detection for LiDAR-based 3D Object Detection
3D object detection is an essential part of automated driving, and deep ...
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06/01/2022
LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object Detection
The estimation of uncertainty in robotic vision, such as 3D object detec...
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08/30/2021
The missing link: Developing a safety case for perception components in automated driving
Safety assurance is a central concern for the development and societal a...
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06/25/2020
The Effect of Optimization Methods on the Robustness of Out-of-Distribution Detection Approaches
Deep neural networks (DNNs) have become the de facto learning mechanism ...
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10/23/2019
Detecting Out-of-Distribution Inputs in Deep Neural Networks Using an Early-Layer Output
Deep neural networks achieve superior performance in challenging tasks s...
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10/09/2019
Out-of-distribution Detection in Classifiers via Generation
By design, discriminatively trained neural network classifiers produce r...
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04/27/2019
Analysis of Confident-Classifiers for Out-of-distribution Detection
Discriminatively trained neural classifiers can be trusted, only when th...
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12/06/2018
Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance
There is an increasingly apparent need for validating the classification...
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11/27/2018
