CPC G06T 7/20 (2013.01) [G05D 1/0221 (2013.01); G05D 1/0231 (2013.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06T 7/70 (2017.01); G06T 11/20 (2013.01); G06V 20/58 (2022.01); G06V 30/274 (2022.01); G05D 2201/0213 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30261 (2013.01); G06T 2210/12 (2013.01)] | 20 Claims |
1. A method comprising:
receiving data associated with an object in an environment;
generating, based at least in part on the data, an image representing a top-down view of the environment;
inputting the image into a machine learned model trained to determine a trajectory template based at least in part on an unsupervised learning algorithm; and
receiving, from the machine learned model, the trajectory template, wherein the trajectory template is indicative of a predicted trajectory associated with the object.
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