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Chapter and Conference Paper
Multimodal Meta-Learning for Time Series Regression
Recent work has shown the efficiency of deep learning models such as Fully Convolutional Networks (FCN) or Recurrent Neural Networks (RNN) to deal with Time Series Regression (TSR) problems. These models somet...
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Chapter and Conference Paper
Drive the Future—Benchmark and Verification of DriveByWire Functions
In a futuristic setting of automated driving, the driver commits the driving task to the vehicle and the steering wheel disappears into the dashboard. SteerByWire steering systems serve as key technology to im...