160 citations
- Volvo Cars (Sweden)12 papers
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- University of GothenburgSE9 papers
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- Carl von Ossietzky Universität OldenburgDE1 paper
- École PolytechniqueFR1 paper
- Fraunhofer Chalmers Research Centre for Industrial MathematicsSE1 paper
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- Institut de Recherche en Informatique de ToulouseFR1 paper
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6 papers · 1 filter
Performance Analysis of Out-of-Distribution Detection on Trained Neural Networks
Jens Henriksson, Christian Berger, Markus Borg +3
Several areas have been improved with Deep Learning during the past years. Implementing Deep Neural Networks (DNN) for non-safety related applications have shown remarkable achieve…
Performance Analysis of Out-of-Distribution Detection on Various Trained Neural Networks
Jens Henriksson, Christian Berger, Markus Borg +3
Several areas have been improved with Deep Learning during the past years. For non-safety related products adoption of AI and ML is not an issue, whereas in safety critical applica…
River: machine learning for streaming data in Python
Jacob Montiel, Max Halford, Saulo Martiello Mastelini +8
River is a machine learning library for dynamic data streams and continual learning. It provides multiple state-of-the-art learning methods, data generators/transformers, performan…
A Generic Framework for Clustering Vehicle Motion Trajectories
Fazeleh S. Hoseini, Sadegh Rahrovani, Morteza Haghir Chehreghani
The development of autonomous vehicles requires having access to a large amount of data in the concerning driving scenarios. However, manual annotation of such driving scenarios is…
Towards Structured Evaluation of Deep Neural Network Supervisors
Jens Henriksson, Christian Berger, Markus Borg +4
Deep Neural Networks (DNN) have improved the quality of several non-safety related products in the past years. However, before DNNs should be deployed to safety-critical applicatio…
Road Friction Estimation for Connected Vehicles using Supervised Machine Learning
Ghazaleh Panahandeh, Erik Ek, Nasser Mohammadiha
In this paper, the problem of road friction prediction from a fleet of connected vehicles is investigated. A framework is proposed to predict the road friction level using both his…