Predicting the Time Until a Vehicle Changes the Lane Using LSTM-based Recurrent Neural Networks
Florian Wirthmüller,
Marvin Klimke,
Julian Schlechtriemen
et al.
Abstract:To plan safe and comfortable trajectories for automated vehicles on highways, accurate predictions of traffic situations are needed. So far, a lot of research effort has been spent on detecting lane change maneuvers rather than on estimating the point in time a lane change actually happens. In practice, however, this temporal information might be even more useful. This paper deals with the development of a system that accurately predicts the time to the next lane change of surrounding vehicles on highways usin… Show more
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