CPC B60W 60/0015 (2020.02) [B60W 30/09 (2013.01); B60W 30/0956 (2013.01); B60W 40/06 (2013.01); B60W 50/0097 (2013.01); G06F 16/285 (2019.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); B60W 2420/42 (2013.01); B60W 2555/20 (2020.02)] | 20 Claims |
1. A system comprising: a computer including a processor and a memory, the memory including instructions executable by the processor such that the processor is programmed to:
process vehicle sensor data with a deep neural network to generate a prediction indicative of one or more objects based on the vehicle sensor data and determine an object uncertainty corresponding to the prediction;
then, upon determining that the object uncertainty is greater than an uncertainty threshold:
segment the vehicle sensor data into a foreground portion and a background portion;
classify the foreground portion as including an unseen object class when a foreground epistemic uncertainty is greater than a foreground epistemic uncertainty threshold;
classify the background portion as including unseen background when a background epistemic uncertainty is greater than a background epistemic uncertainty threshold; and
transmit the data and a data classification to a server.
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