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04/22/2022 | Intelligent Embedded Systems

New conference paper accepted for IEEE Intelligent Vehicles Symposium (IV) 2022

In the article "Cyclist Intention Detection: A Probabilistic Approach", Stefan Zernetsch, Hannes Reichert, Viktor Kress, Konrad Doll and Bernhard  Sick propose a holistic approach for probabilistic cyclist intention detection.  A basic movement detection based on motion history images (MHI) and a residual convolutional neural network (ResNet) are used to estimate probabilities for the current cyclist motion state.