CPC G06V 20/58 (2022.01) [G06N 20/00 (2019.01); G06T 7/70 (2017.01); G06V 10/803 (2022.01); G06V 20/584 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/30261 (2013.01)] | 15 Claims |
1. A method implemented by a processor included in a vehicle, the method comprising:
receiving a time series training set comprising a plurality of images captured over a period of time, the images depicting an object proximate to a vehicle and being associated with respective timestamps, wherein the time series training set is associated with label information indicating, at least, respective distances of the object with respect to the vehicle and auxiliary data associated with the vehicle;
training a machine learning model based on the time series training set; and
providing the machine learning model for execution by one or more other vehicles, wherein the machine learning model is configured to output distance information associated with objects.
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