A method for processing data in a vehicle. The method includes: a) receiving data of components of the vehicle, b) checking the received data with respect their value for the development, further development, and/or the serial operation of vehicles and/or components thereof, c) deciding in consideration of step b) whether the data are to be stored in the vehicle (1) or sent to a vehicle-external location.

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 method of determining a vehicle health score for a vehicle includes receiving location information associated with a location of the vehicle and identifying at least one location-specific health factor based on the received location information. The method further includes receiving diagnostic data from the vehicle, with the diagnostic data including data points associated with several different heath factors including the at least one location-specific health factor, each health factor being associated with an acceptable condition. The received diagnostic data is compared with the acceptable conditions for each health factor and a preliminary score for each health factor is assigned based on the comparison. A weight is assigned to each of the preliminary scores and a comprehensive vehicle health score is calculated based on each of the weighted preliminary scores. The comprehensive vehicle health score is then displayed on a display.

A work vehicle includes: a chassis; a first axle carried by the chassis; a pair of first wheels rotatably coupled to the first axle; a first weight sensor associated with the first axle and configured to output a first weight signal; a second axle carried by the chassis; a pair of second wheels rotatably coupled to the second axle; a second weight sensor associated with the second axle and configured to output a second weight signal; and a controller operatively coupled to the first and second weight sensors. The controller is configured to: receive the first and second weight signals; determine a weight distribution of the work vehicle based on the received first and second weight signals; analyze the determined weight distribution to determine at least one recommended operating parameter; and output a recommendation signal based on the at least one recommended operating parameter.

Systems and methods are disclosed for determining, and displaying, the regulatory compliance status of a motorized vehicle, a driver of a motorized vehicle, or a non-vehicle machine. An authorized agent, such as a law enforcement officer, can perform a remotely-initiated safe stop of a motorized vehicle to prevent a high-speed chase. A system management center can receive, store, and transmit regulatory compliance records indicating the regulatory compliance status of drivers, motorized vehicles, and non-vehicle machines. A motorized vehicle can detect, and report, a driver “tail-gating” the motorized vehicle. The regulatory compliance history of drivers, motorized vehicles, and non-vehicle machines can be queried by authorized users.

A method for indirectly deriving a systematic dependence for a system behavior of a system component of a cleaning system of a motor vehicle. The cleaning system is adapted for cleaning at least one surface of the motor vehicle by means of a cleaning process adapted for a resource efficient cleaning. Additionally, a diagnosing method, a method for selecting a resolution strategy, a use of a resolution strategy, a cleaning method, a cleaning system, and a motor vehicle are disclosed.

Systems, methods and apparatus of recordation of vehicle data associated with errant vehicle behavior. For example, a vehicle includes: sensors configured to generate sensor data; control elements configured to generate control signals to be applied to the vehicle in response to user interactions with the control elements; electronic control units configured to provide status data in operations of the electronic control units; and a data storage device. The data storage device is configured to receive input data including the sensor data, the control signals and the status data, store the input data in a cyclic way in an input partition over time, generate a classification of errant behavior based on the input data and using an artificial neural network, and preserve a portion of the input data associated with the classification of errant behavior.

Vehicles and methods of operating vehicles are disclosed herein. A vehicle includes a main frame, a work implement, and a control system. The work implement is supported by the main frame and configured to carry a payload in use of the vehicle. The control system is supported by the main frame and configured to control operation of the vehicle. The control system includes a payload measurement system configured to provide payload input indicative of a variable payload carried by the work implement in use of the vehicle and a controller coupled to the payload measurement system.

Systems and methods to systematically identify and collect operational vehicle data for selective transmission to a non-local storage location for further analysis and use in training autonomous and semi-autonomous vehicles are provided. The systems and methods provided overcome limitations in storage and transmission of collected data by selectively archiving only that collected driving data warranting further analysis.

An in-vehicle sensing module for monitoring a vehicle is disclosed, which is advantageous for use in the context of a shared vehicle service, such as a car rental service, an autonomous taxi service, or a ride sharing service. The in-vehicle sensing module at least includes a controller, a cellular transceiver, and one or more integrated sensors configured to monitor a status of the vehicle. The in-vehicle sensing module utilizes appropriate algorithms, models, or thresholds to interpret sensor data and enrich the data with metadata and event detection. The in-vehicle sensing module uploads relevant sensor data, event data, or other metadata to a cloud storage backend, which is made accessible by authorized third-parties.