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Cyclist Trajectory Forecasts by Incorporation of Multi-View Video Information
This article presents a novel approach to incorporate visual cues from video-data from a wide-angle stereo camera system mounted at an urban intersection into the forecast of cyclist trajectories.
Pose and Semantic Map Based Probabilistic Forecast of Vulnerable Road Users' Trajectories
We compare our method with an approach that provides forecasts in the form of Gaussian distributions and discuss the respective advantages and disadvantages.
Cyclist Intention Detection: A Probabilistic Approach
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.
Early Start Intention Detection of Cyclists Using Motion History Images and a Deep Residual Network
The method uses a deep Convolutional Neural Network (CNN) with a residual network architecture (ResNet), which is commonly used in image classification and detection tasks.
