Multiple Trajectory Prediction with Deep Temporal and Spatial Convolutional Neural Networks
Jan Strohbeck,Vasileios Belagiannis,Johannes Müller,Marcel Schreiber,Martin Herrmann,Daniel Wolf,Michael Buchholz,Jan Strohbeck,Vasileios Belagiannis,Johannes Müller,Marcel Schreiber,Martin Herrmann,Daniel Wolf,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. Due to the availability of datasets with large numbers of recorded trajectories of traffic participants, de...
