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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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05/10/2022
A Safety Assurable Human-Inspired Perception Architecture
Although artificial intelligence-based perception (AIP) using deep neura...
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02/08/2022
If a Human Can See It, So Should Your System: Reliability Requirements for Machine Vision Components
Machine Vision Components (MVC) are becoming safety-critical. Assuring t...
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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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08/17/2021
Robustifying Controller Specifications of Cyber-Physical Systems Against Perceptual Uncertainty
Formal reasoning on the safety of controller systems interacting with pl...
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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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11/07/2019
Efficacy of Pixel-Level OOD Detection for Semantic Segmentation
The detection of out of distribution samples for image classification ha...
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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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07/04/2019
Lifting Datalog-based Analyses to Software Product Lines
Applying program analyses to Software Product Lines (SPLs) has been a fu...
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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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03/03/2019
Towards a Framework to Manage Perceptual Uncertainty for Safe Automated Driving
Perception is a safety-critical function of autonomous vehicles and mach...
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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
Calibrating Uncertainties in Object Localization Task
In many safety-critical applications such as autonomous driving and surg...
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08/05/2018
Using Machine Learning Safely in Automotive Software: An Assessment and Adaption of Software Process Requirements in ISO 26262
The use of machine learning (ML) is on the rise in many sectors of softw...
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09/07/2017