A system and method for predicting pedestrian intent is provided. A prediction circuit comprising a plurality of gated recurrent units (GRUB) receives a sequence of images captured by a camera. The prediction circuit parses each frame of the sequence of images to identify one or more pedestrians and one or more objects. Using the parsed data, the prediction circuit generates a pedestrian-centric spatiotemporal graph, the parsed data comprising one or more identified pedestrians and one or more identified object. The prediction circuit uses the pedestrian-centric graph to determine a probability of one or more pedestrians crossing a street for each frame of the sequence of images.
Spatiotemporal relationship reasoning for pedestrian intent prediction
2021-12-21
Patent
Elektronische Ressource
Englisch
SPATIOTEMPORAL RELATIONSHIP REASONING FOR PEDESTRIAN INTENT PREDICTION
Europäisches Patentamt | 2021
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