Abstract: A method of providing an onboard assistant for a vehicle, comprising: receiving sensor data from sensors of the vehicle; transforming the sensor data using a trained machine learning model to provide transformed sensor data; inferring from the transformed sensor data that a special condition for the vehicle requires intervention; and contacting an operator of the vehicle to inform the operator of the special condition and receive instructions for handling the special condition.

Abstract: Systems and methods for map simulation testing are provided. A method includes receiving, by a computer-implemented system, information associated with an operational design domain (ODD); generating, by the computer-implemented system based at least in part on the information associated with the ODD, a plurality of map test cases for a map representative of a geographical area in the ODD, where each map test case of the plurality of map test cases includes one of a plurality of paths in the geographical area; evaluating a vehicle planning process in navigating through one or more of the plurality of paths corresponding to one or more of the plurality of map test cases; and determining a metric for the map based on the evaluating.

Abstract: A method of providing an onboard assistant for a vehicle, comprising: receiving sensor data from sensors of the vehicle; transforming the sensor data using a trained machine learning model to provide transformed sensor data; inferring from the transformed sensor data that a special condition for the vehicle requires intervention; and contacting an operator of the vehicle to inform the operator of the special condition and receive instructions for handling the special condition.