A method and a device for providing an operating state of a sensor of a vehicle. The method includes detecting first environment data values using the sensor, the first environment data values representing an environment of the vehicle, receiving second environment data values, which represent the environment of the vehicle, the second environment data values being detected by an infrastructure sensor system, determining the operating state of the sensor as a function of the first and the second environment data values, and providing the operating state of the sensor.

A system for recording event data of an autonomous vehicle is disclosed. The present disclosure suggests an EDR system operation scheme suitable for properly investigating the cause of a vehicle accident. Subsystems of an autonomous driving control system may determine whether an event satisfying a preconfigured condition has occurred, and send to an EDR system a trigger signal to trigger recording of data elements related to the event when the occurrence of the event is detected. The EDR system may record data elements that are useful to reconstruct a map of an external environment surrounding an autonomous vehicle at the time of the occurrence of the event or to reconstruct an internal environment of the vehicle.

A server includes a controller that repeatedly acquires history data for a vehicle, and limits data items acquired as the history data in a case in which an age of the vehicle is greater than or equal to a first threshold.

Value-based data transmission in an autonomous vehicle, comprising: acquiring sensor data from a plurality of sensors of the autonomous vehicle, the sensor data comprising a plurality of portions; determining, for each portion of the sensor data, a value based on one or more objects identified in the sensor data; determining, based on the values for the sensor data, an upload policy; and transmitting, based on the upload policy, one or more portions of the sensor data to a server.

A vehicle includes receiving signals from a plurality of satellites; obtaining position information based on the received signal; detecting a driving speed and yaw rate; obtaining dead reckoning information based on position information about a position of a vehicle recognized in a previous cycle and the received detection information; predicting the position information based on the obtained dead reckoning information; obtaining a value of Euclidean distance based on the position information about the position of the vehicle recognized in the previous cycle and the obtained position information; generating a first outlier filter based on the value of the Euclidean distance; obtaining a value of Mahalanobis distance based on the obtained position information and the predicted position information; generating a second outlier filter based on the value of the Mahalanobis distance; recognizing a current position of the vehicle by fusing information passing through the first outlier filter and information passing through the second outlier filter; and outputting information about the current position of the recognized vehicle as an image or a sound.

A method and system that can be used to generate or modify a schedule using data indicative of a vehicle condition reported by a vehicle is described. A server receives a first computer network transmission (CNT) comprising data indicative of the vehicle and the vehicle condition, parses the first CNT to obtain the data indicative of the vehicle and the data indicative of the vehicle condition; determines, based on the data indicative of the vehicle, a computer network address associated with a repair shop having a client disposed at the address to display content of a scheduler application, and transmits to the client disposed at the address, a second CNT comprising data to cause the client to display as part of the content of the scheduler application served by computing server an alert indicator and parsed data indicative of the vehicle and the parsed data indicative of the vehicle condition.

A method includes receiving vehicle data indicative of a least one operating characteristic of one or more vehicles and one or more fault codes from the one or more vehicles, each of the one or more fault codes having a corresponding component; aggregating the one or more fault codes based on the corresponding components of the one or more fault codes; interpreting the vehicle data and the one or more fault codes to determine a potential root cause for the one or more fault codes by comparing vehicle data of a first vehicle of the one or more vehicles to the vehicle data of the one or more vehicles; and providing a graphical user interface to a display device for depicting the one or more fault codes based on the potential root cause.

Described herein are systems and methods for applying machine learning to telematics data to generate a unique vehicle fingerprint by periodically receiving telematics data generated at a plurality of sensors of a vehicle; standardizing the telematics data; aggregating the standardized telematics data; applying a trained machine learning model to embed the aggregated telematics data into a low-dimensional state; and generating a unique vehicle fingerprint, the vehicle fingerprint comprising a static component, a dynamic component, or both a static component and a dynamic component; including iterative repetition to update the dynamic component of the vehicle fingerprint.

A system includes an autonomous vehicle (AV) comprising a sensor, a control subsystem, and an operation server. The control subsystem receives sensor data comprising location coordinates of the AV from the sensor. The operation server detects an unexpected event from the sensor data, comprising at least one of an accident, an inspection, and a report request. The operation server receives a message from a user comprising a request to access particular information regarding the AV and location data. The operation server associates the AV with the user if the location coordinates of the AV match location data of the user. The operation server establishes a communication path between the user and a remote operator for further communications.

The present disclosure provides systems and methods to obtain feedback descriptive of autonomous vehicle failures. In particular, the systems and methods of the present disclosure can detect that a vehicle failure event occurred at an autonomous vehicle and, in response, provide an interactive user interface that enables a human located within the autonomous vehicle to enter feedback that describes the vehicle failure event. Thus, the systems and methods of the present disclosure can actively prompt and/or enable entry of feedback in response to a particular instance of a vehicle failure event, thereby enabling improved and streamlined collection of information about autonomous vehicle failures.