Implementations described herein relate to various techniques that enable an improved automated assistant suggestion service for vehicle(s). For example, implementations can initialize and perform a recurring system health check service to ensure a connection is maintained between at least an OEM application of an in-vehicle computing device of a given vehicle and the suggestion service accessible by the in-vehicle computing device of the given vehicle. By ensuring this connection is maintained, the suggestion service is less prone to failure and suggestion(s) may still be provided in situations when the suggestion service does fail. Additionally, or alternatively, implementations can utilize a versioning API to ensure compatibility between at least the OEM application and the suggestion service. By ensuring this compatibility, the suggestion service for the vehicle(s) is more robust to version updates and the applications need not be fully compatible.

A system may comprise a device. The device may be configured to receive, from one or more sensor devices of the machine, sensor data associated with wear of one or more components of an undercarriage of the machine; and predict, using a machine learning model and the sensor data, an amount wear of the one or more components based on a wear rate of the one or more components. The machine learning model is trained, using training data, to predict the wear rate of the one or more components. The training data includes two or more of: historical sensor data, historical inspection data, or simulation data, of a simulation model, from one or more third devices. The device may perform an action based on the amount of wear.

An automated method of controlling a speed of a vehicle includes identifying parameters of a driving instance of the vehicle; identifying a predetermined profile that is applicable to the driving instance based on the identified parameters; identifying a predetermined speed policy applicable to the driving instance based on the identified profile; and implementing the identified speed policy during the driving instance. The method may be repeated during the driving instance, whereby the speed policy that is implemented is automatically updated when one or more changes in the identified parameters cause a different predetermined speed policy to be identified. Parameter may include driver parameters (e.g., driver age and driver experience); vehicle parameters (e.g., vehicle age, mileage, and tire wear) tire maintenance information); behavior parameters (e.g., speed, acceleration, hard braking of the vehicle, following distance, swerving, and cornering); and circumstance parameters (e.g., time of day, road information, inclement weather, and traffic congestion).

Systems and methods for predicting component failure in a vehicle and alerting a driver based thereon. In an embodiment, the method includes receiving sensor data from at least one vehicle sensor over a period of time, processing the sensor data using a predictive model to detect an anomaly indicative of an upcoming component failure, determining a severity of the upcoming component failure based on at least one operating characteristic of the vehicle, and providing an alert to the driver of the vehicle regarding the severity of the upcoming component failure.

Examples of the present disclosure relate to a system, method, and computer readable medium for windshield safety. A windshield safety system may include a sensor that detects possible damage to a windshield of a vehicle. In an example, the windshield safety system includes a display corrector in the vehicle to alter the display of information in response to a possible damage detection by the sensor. The windshield safety system can also include a driver information system in the vehicle to send an appointment request in response to a possible damage detection by the sensor.

Methods and systems for autonomous and semi-autonomous vehicle control, routing, and automatic feature adjustment are disclosed. Sensors associated with autonomous operation features may be utilized to search an area for missing persons, stolen vehicles, or similar persons or items of interest. Sensor data associated with the features may be automatically collected and analyzed to passively search for missing persons or vehicles without vehicle operator involvement. Search criteria may be determined by a remote server and communicated to a plurality of vehicles within a search area. In response to which, sensor data may be collected and analyzed by the vehicles. When sensor data generated by a vehicle matches the search criteria, the vehicle may communicate the information to the remote server.

A work site equipment grouping system includes a plurality of work machines including a first work machine and a second work machine. Each work machine is configured to wirelessly communicate with other work machines. The system further includes a local area network including a plurality of communicatively connected nodes, the nodes including the first work machine and the second work machine. The system further includes a third work machine configured to detect one of the first work machine or the second work machine within a signal range of the third work machine and, upon detecting one of the first work machine or the second work machine, automatically join the local area network.

An architecture for monitoring at least one aircraft. The architecture comprises an avionics system configured to generate avionics data during use of the aircraft; a mobile electronic device including an analysis unit configured to convert at least one maintenance operation into operational data; and an alerter configured to display at least one item of monitoring information; and a cloud computing infrastructure. The analysis unit and the alerter are configured to implement a local operating mode and an operating mode connected to the cloud computing infrastructure.

The disclosure is directed to, among other things, distributed ledger systems for modular vehicles. The disclosure may involve receiving, at a first ledger associated with a first node, information regarding an interaction between the first node and a second node. The same transaction information may also be received at a second ledger associated with the second node, as well as ledgers associated with any other number of nodes. The first node, second node, and any other number of nodes may be modular vehicle components. Additionally, the first ledger, second ledger, and any other number of ledgers include a set of the same information. The first node, second node, and third node may be nodes on a distributed ledger network.

Systems and methods for automatically servicing autonomous vehicles are provided. In one example embodiment, a computer implemented method includes obtaining data associated with one or more reference mechanisms located on an autonomous vehicle. The method includes identifying information associated with the autonomous vehicle based at least in part on the data associated with the one or more reference mechanisms located on the autonomous vehicle. The information associated with the autonomous vehicle includes an orientation of the autonomous vehicle. The method includes determining a vehicle maintenance plan for the autonomous vehicle based at least in part on the information associated with the autonomous vehicle. The method includes providing one or more control signals to implement the vehicle maintenance plan for the autonomous vehicle based at least in part on the orientation of the autonomous vehicle.