A method for detecting a special operating state of a motor vehicle which differs from a normal operating state of the motor vehicle, in which a noise emitted by the motor vehicle during operation of the motor vehicle is captured in the interior of the motor vehicle using a mobile apparatus which is separate from the motor vehicle, and the noise is compared with a plurality of reference noises provided by the mobile apparatus, the noise being assigned to a most similar reference noise of the plurality of reference noises on the basis of the comparison if a minimum similarity value is exceeded, and the special operating state being detected by the assignment which has been carried out.

A method carried out in a system having a diagnosis plug-in device, a host server, a plurality of third-party servers and a user display device. The method includes the steps of: coupling the diagnosis plug-in device to the diagnosis port of a vehicle of interest; collecting at the diagnosis plug-in device, a basic data set, including vehicle speed, itinerary and geolocations; transferring the basic data set to the host server; at the host server, enriching a driver's profile relating and updating the vehicle's data history; forwarding the basic data set from the host server to the third-party servers; at the third-party servers, enriching the driver's profile and/or updating the vehicle's data history; at each third-party server, deciding based on a set of message issuance criteria to build a message for the user and conditions of delivery of this message concerning vehicle maintenance and/or advertisement messages.

Methods and systems for enhancing the functionality of a semi-autonomous vehicle are described herein. The semi-autonomous vehicle may receive a communication from a fully autonomous vehicle within a threshold distance of the semi-autonomous vehicle. If the vehicles are travelling on the same route or the same portion of a route, the semi-autonomous vehicle may navigate to a location behind the fully autonomous vehicle. Then the semi-autonomous vehicle may operate autonomously by replicating one or more functions performed by the fully autonomous vehicle. The functions and/or maneuvers performed by the fully autonomous vehicle may be detected via sensors in the semi-autonomous vehicle and/or may be identified by communicating with the fully autonomous vehicle to receive indications of upcoming maneuvers. In this manner, the semi-autonomous vehicle may act as a fully autonomous vehicle.

An automated vehicle inspection system utilizing a watertight booth process of a manufacturing plant includes a diagnostic terminal mounted in a vehicle and connected to an engine control unit (ECU) of the vehicle through vehicle communication, sequentially operating individual electric components through the ECU based on a stored electric component inspection items while the vehicle passes through a watertight booth and receiving individual operating currents measured accordingly to determine whether the electric components normally operate, a transceiver connecting the diagnostic terminal and wireless diagnostic communication through an antenna disposed in the watertight booth process, and an inspector recognizing a vehicle ID of a vehicle that enters the watertight booth, transmitting inspection items according to a vehicle type and specification of the vehicle ID to the diagnostic terminal through the diagnostic communication, recognizing a vehicle ID of a vehicle that leaves the watertight booth to collect inspection results determined in the diagnostic terminal.

A processor may receive, from one or more electronic control units (ECUs) of a particular vehicle, vehicle-system data including information about a state of one or more vehicle-systems of the particular vehicle. Also, the processor may receive, from one or more data sources other than the one or more ECUs, other input data indicative of a state of the particular vehicle. Based on the vehicle-system data and on the other input data, the processor may determine repair information to be specified in a repair order (RO) associated with the particular vehicle. Further, the processor may generate an RO specifying at least the determined repair information, wherein the generated RO is associated with the particular vehicle. Then, the processor may direct a display device to display at least one visual indication representative of the generated RO.

A vehicle remote control system includes a vehicle and a server configured to remote-control the vehicle via a communication device. The communication device comprises: an acquisition unit configured to acquire control information representing a control state of the vehicle from a control device configured to control the vehicle and voltage information from a power supply device configured to supply power to the vehicle; a transmission unit configured to transmit the control information and the voltage information to the server; a warning unit configured to, if the voltage information cannot be acquired, transmit a warning for notifying an abnormality of the vehicle to the server; and a processing suppression unit configured to, if the vehicle is in a maintenance state, suppress processing of the warning unit such that the warning is not transmitted.

A vehicle system receives a request for a first vehicle micro-service to be executed on behalf of a first feature and to be executed having a configuration included in the request. The system determines whether the first micro-service with the configuration is already executing on behalf of a second feature. The system determines if vehicle resources will support an instance of the first micro-service with the configuration when the first micro-service with the configuration is not already executing and, responsive to determining that vehicle resources will support the instance, launches the requested first micro-service with the configuration. The system additionally registers the instance along with the configuration and any features on behalf of which the instance is functioning.

Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicle and/or smart homes are described herein. Autonomous operation features and related components can be assessed using direct or indirect data regarding operation. Such assessment may be performed to determine the condition of components for salvage following a collision or other loss-event. To this end, the information regarding a plurality of components may be received. A component of the plurality of components may be identified for assessment. Assessment may including causing test signals to be sent to the identified component. In response to the test signal, one or more responses may be received. The received response may be compared to an expected response to determine whether the identified component is salvageable.

The present invention relates to a method for predictive maintenance of a component (11) of a road vehicle (10) and a predictive maintenance device configured to implement said method. The method is implemented by at least one calculator (12) connected to the component (11) and comprises the following steps: a. collecting a data set of the vehicle (S200) comprising: i. first data relating to the use of first predetermined combinations of usage parameters of said component (CP1(1), . . . , CP1(N)), ii. second data relating to the use of second predetermined combinations of usage parameters of said vehicle (CP2(1), . . . , CP2(M)), iii. third data for establishing the course of at least one control parameter of the component representative of wear of the component (P3) as a function of the number of kilometers traveled by the vehicle, b. as a function of the first and second data of the vehicle, selecting (S300), from a plurality of pre-established classes of vehicles (C1,1, . . . , C5,5) having similar first data and second data, a class for which the first data and second data of the vehicle are similar to those of the vehicles of the class selected, c. comparing the third data of the vehicle with reference data of the class selected (S400), the reference data being obtained from data on the course of said control parameter representative of wear of the component of each of the vehicles of the class selected, d. deducing, according to the result of the comparison, a future behavior of the component (S500).

A vehicle and method for determining an injury information of a vehicle occupant after an accident of the vehicle based on sensing, by a vital sensor, at least one physiological signal of the occupant and providing a first output signal indicative of an internal trauma of the occupant to the vehicle electronic control device; providing to the vehicle electronic control device at least one second output signal from a vehicle internal sensor indicative of an external physical injury of the occupant; and determining, by the vehicle electronic control device, an emergency severity index indicative of a life-criticality status based on the first output signal and the second output signal.