CPC B60Q 1/525 (2013.01) [B60Q 1/54 (2013.01); B60Q 5/006 (2013.01); B60Q 2400/20 (2013.01)] | 20 Claims |
1. A method, comprising:
generating, by a machine learning model executable by one or more processors of a vehicle coupled to non-transitory memory of the vehicle, a metric based on one or more first aspects of a first trajectory of the vehicle and one or more second aspects of a second trajectory of an object in a field of view of the vehicle, the metric indicating proximity of the object with the vehicle, wherein generating the metric further comprises:
generating the metric by comparing the one or more first aspects and the one or more second aspects with one or more thresholds;
identifying, by the machine learning model, an audiovisual device of the vehicle located at a portion of an exterior of the vehicle corresponding to the field of view, the audiovisual device configured to output an indication from the portion of the exterior of the vehicle; and
actuating, by the machine learning model, the audiovisual device to output the indication having a property based on the metric.
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