Predictive teleoperator situational awareness

A system comprising:

• one or more processors;
• and
• at least one memory having stored thereon processor-executable instructions that, when executed by the one or more processors, cause the system to perform operations comprising:
• obtaining data from a vehicle;
• determining a representation of data based at least in part on a subset of the data, where the subset comprises at least one of a request, sensor data, a detected object, event data, vehicle state data, or environmental data;
• providing, as input to a machine-learned model, the representation of data;
• receiving, from the machine-learned model and based at least in part on the representation of data, at least one of a teleoperator option or a presentation configuration;
• causing at least one of presentation of the teleoperator option via a user interface or configuration of the user interface based at least in part on the presentation configuration;
• and
• modifying the machine-learned model to decrease a time between receiving the data from the vehicle and transmitting a response to the vehicle.

A non-transitory computer-readable storage medium having processor-executable instructions stored thereupon which, when executed by one or more processors, cause the one or more processors to perform operations comprising:

• receiving data from a vehicle;
• determining, based at least in part on the data, a representation of data comprising at least one of a tensor or a vector;
• providing, as input to a machine-learned model, the representation of data;
• receiving, from the machine-learned model and based at least in part on the representation of data, at least one of a teleoperator option or a presentation configuration;
• and
• causing at least one of presentation of the teleoperator option via a user interface or configuration of the user interface based at least in part on the presentation configuration;
• receiving a teleoperator interaction via the user interface;
• transmitting a guidance signal to the vehicle based at least in part on the teleoperator interaction;
• and
• modifying the machine-learned model to decrease a time between receiving the data from the vehicle and at least one of receiving the teleoperator interaction response to the vehicle and transmitting the guidance signal.