Feb. 12, 2024, 5:45 a.m. | Jan Strohbeck Sebastian Maschke Max Mertens Michael Buchholz

cs.CV updates on arXiv.org arxiv.org

For automated driving, predicting the future trajectories of other road users in complex traffic situations is a hard problem. Modern neural networks use the past trajectories of traffic participants as well as map data to gather hints about the possible driver intention and likely maneuvers. With increasing connectivity between cars and other traffic actors, cooperative information is another source of data that can be used as inputs for trajectory prediction algorithms. Connected actors might transmit their intended path or even …

actors automated cars connectivity cs.cv cs.ro data driver driving future gather graph graph-based information map modern networks neural networks prediction traffic trajectory

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