Multiple Trajectory Prediction with Deep Temporal and Spatial Convolutional Neural Networks

no code implementations • 29 Oct 2020 • Jan Strohbeck, Vasileios Belagiannis, Johannes Muller, Marcel Schreiber, Martin Herrmann, Daniel Wolf and Michael Buchholz

Automated vehicles need to not only perceive their environment, but also predict the possible future behavior of all detected traffic participants in order to safely navigate in complex scenarios and avoid critical situations, ranging from merging on highways to crossing urban intersections.

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