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Video action recognition for lane-change classification and prediction of surrounding vehicles
Up to four different two-stream-based approaches, that have been successfully applied to address human action recognition, are adapted here by stacking visual cues from forward-looking video cameras to recognize and anticipate lane-changes of target vehicles.
Two-Stream Networks for Lane-Change Prediction of Surrounding Vehicles
Different sizes of the regions around the vehicles are analyzed, evaluating the importance of the interaction between vehicles and the context information in the performance.
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