no code implementations • 7 Feb 2024 • Koen Vellenga, H. Joe Steinhauer, Alexander Karlsson, Göran Falkman, Asli Rhodin, Ashok Koppisetty
We explore a pre-defined search space for three deep neural network layer types that are capable to handle sequential data (a long-short term memory, temporal convolution, and a time-series transformer layer), and the influence of different data fusion strategies on the driver intention recognition performance.