Systems and Methods for Generating Motion Forecast Data for Actors with Respect to an Autonomous Vehicle and Training a Machine Learned Model for the Same

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United States of America Patent

APP PUB NO 20240320466A1
SERIAL NO

18656150

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Abstract

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Systems and methods for generating motion forecast data for actors with respect to an autonomous vehicle and training a machine learned model for the same are disclosed. The computing system can include an object detection model and a graph neural network including a plurality of nodes and a plurality of edges. The computing system can be configured to input sensor data into the object detection model; receive object detection data describing the location of the plurality of the actors relative to the autonomous vehicle as an output of the object detection model; input the object detection data into the graph neural network; iteratively update a plurality of node states respectively associated with the plurality of nodes; and receive, as an output of the graph neural network, the motion forecast data with respect to the plurality of actors.

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Patent Owner(s)

Patent OwnerAddress
AURORA OPERATIONS INC280 NORTH BERNARDO AVENUE MOUNTAIN VIEW CA 94043

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Casas, Sergio Toronto, CA 22 160
Gulino, Cole Christian Pittsburgh, US 12 108
Liao, Renjie Toronto, CA 13 85
Urtasun, Raquel Toronto, CA 129 1842

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