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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.
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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.
Dates
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.