Systems and methods for random vehicle movement to prevent theft are disclosed. The vehicle system may automatically reposition to make it seem like the user is home and to reduce battery drain and flat spots on the tire. The system may randomize the start time based on the preferences of the user. At the randomly decided time, the vehicle may start up on its own and reposition itself. In addition, the system may learn a driving behavior pattern of the vehicle via machine learning based on driving behavior associated with the vehicle, such that the vehicle may perform vehicle movement based on the learned driving behavior pattern.

A vehicle device in one embodiment includes: a control unit in which a system is built, a plurality of operating systems operating on the system; and a plurality of monitoring units that are configured to monitor a defect in the system. Each of the plurality of monitoring units is further configured to: perform monitoring at a respective one of a plurality of layers into which the system are divided; and solve a defect at the respective one of the plurality of layers when the defect occurs.

A calibration and repair system for advanced driver assistance systems (“ADAS”) and features is configured to provide secure, automated workflow management related to the calibration of ADAS. Automated workflows include steps and interfaces to aid in preparation of a vehicle for calibration, local-remote collaboration during calibration, customer interactions, workflow and event notification, user authentication, remote system management, and other tasks. The system is also capable of automatically and dynamically adding new and updated calibration specifications that are usable during local-remote collaboration.

A calibration and repair system for advanced driver assistance systems (“ADAS”) and features is configured to provide secure, automated workflow management related to the calibration of ADAS. Automated workflows include steps and interfaces to aid in preparation of a vehicle for calibration, local-remote collaboration during calibration, customer interactions, workflow and event notification, user authentication, remote system management, and other tasks. The system is also capable of automatically and dynamically adding new and updated calibration specifications that are usable during local-remote collaboration.

Technologies for efficiently providing reliable compute operations for mission critical applications include a reliability management system. The reliability management system includes circuitry configured to obtain conclusion data indicative of a conclusion made by each of two or fewer compute devices of a host system. The conclusion data from each compute device pertains to the same operation. Additionally, the circuitry is configured to identify whether an error has occurred in the operation of each compute device, determine, in response to a determination that an error has occurred, a severity of the error, and cause the host system to perform a responsive action as a function of the determined severity of the error.

A method for controlling a vehicle (1) assembled from a set of modules (20). The vehicle (1) includes: at least one drive module (30); and at least one functional module (40). The at least one drive module (30) has a pair of wheels (32) and is configured to autonomously operate and drive the assembled vehicle (1) wherein the modules (30, 40, 70, 80) of the vehicle (1) are configured to communicate with the control device (100). The method includes: receiving (s101) data from the modules (30, 40, 70, 80) of the vehicle (1), wherein the data includes a value of at least one parameter associated with a current condition of the modules (30, 40, 70, 80); evaluating (s102) the received data by comparing the value of the at least one parameter with a predetermined value or value interval for the at least one parameter; and controlling (s103) the vehicle (1) based on the evaluation.

A method for controlling a vehicle (1) assembled from a set of modules (20). The vehicle (1) includes: at least one drive module (30); and at least one functional module (40). The at least one drive module (30) has a pair of wheels (32) and is configured to autonomously operate and drive the assembled vehicle (1) wherein the modules (30, 40, 70, 80) of the vehicle (1) are configured to communicate with the control device (100). The method includes: receiving (s101) data from the modules (30, 40, 70, 80) of the vehicle (1), wherein the data includes a value of at least one parameter associated with a current condition of the modules (30, 40, 70, 80); evaluating (s102) the received data by comparing the value of the at least one parameter with a predetermined value or value interval for the at least one parameter; and controlling (s103) the vehicle (1) based on the evaluation.

A failure detection device that detects a failure in a plurality of external sensors onboard a vehicle, the failure detection device comprises: an overlapping region storage unit that stores an overlapping region of detection areas of the external sensors; an environment performance storage unit that stores an environment-dependent performance of sensing of the external sensors; an environment information acquisition unit that acquires environment information about the vehicle; a recognition result comparison unit that compares recognition results of an object in the overlapping region from the external sensors; a failure likelihood computation unit that computes a failure likelihood of each external sensor based on a comparison result of the recognition results, the environment information, and the environment-dependent performance; and a failure determination unit that determines a failure in each external sensor based on the failure likelihood of each of the external sensors.

A controller for a vehicle drive device includes an engagement control part controlling an engagement state of a first engagement device based on an engagement control instruction; a hydraulic pressure information obtaining part obtaining hydraulic pressure information indicating first hydraulic pressure supplied to the first engagement device; an acceleration information obtaining part obtaining acceleration information indicating vehicle acceleration; and a determining part determining a state of the first engagement device, and when an input rotational speed is greater than zero, a state of a transmission is a drive transmission state in which drive power is transmitted, the engagement control instruction is a disengagement instruction brining the first engagement device into a disengaged state, the first hydraulic pressure is greater than a first threshold value, and the acceleration has a negative value smaller than a second threshold value, the determining part determines the first engagement device state is an engagement abnormality.

In a hybrid vehicle, a hybrid type lubrication control valve which is a solenoid valve type turned on/off by electricity is used as a lubrication system component for circulating lubricating oil to a transmission and an engine clutch. A method includes measuring, by an engine clutch pressure sensor, first engine clutch engagement pressure in an off-state of the independent type lubrication control valve and second engine clutch engagement pressure in an on-state thereof; and determining, by the TCU, whether or not the independent type lubrication control valve is stuck, on the basis of a pressure difference between the first engine clutch engagement pressure and the second engine clutch engagement pressure. The method can diagnose a stuck state of the hybrid type lubrication control valve using hydraulic pressure for operating engine clutch engagement, before starting the vehicle.