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5 papers · 1 filter
Online Learning Models for Vehicle Usage Prediction During COVID-19
Tobias Lindroth, Axel Svensson, Niklas Åkerblom +2
Today, there is an ongoing transition to more sustainable transportation, for which an essential part is the switch from combustion engine vehicles to battery electric vehicles (BE…
Measuring design compliance using neural language models -- an automotive case study
Dhasarathy Parthasarathy, Cecilia Ekelin, Anjali Karri +2
As the modern vehicle becomes more software-defined, it is beginning to take significant effort to avoid serious regression in software design. This is because automotive software…
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…
Interpretable Battery Cycle Life Range Prediction Using Early Degradation Data at Cell Level
Huang Zhang, Yang Su, Faisal Altaf +2
Battery cycle life prediction using early degradation data has many potential applications throughout the battery product life cycle. For that reason, various data-driven methods h…
Passive and Active Learning of Driver Behavior from Electric Vehicles
Federica Comuni, Christopher Mészáros, Niklas Åkerblom +1
Modeling driver behavior provides several advantages in the automotive industry, including prediction of electric vehicle energy consumption. Studies have shown that aggressive dri…