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.

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 User Remote 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 User Remote 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.

The disclosure provides a method for operating an automatically driving vehicle, wherein application instances are executed over several computational nodes, wherein recognized faults are reacted to by switching to redundant application instances and then reconfiguring the configuration to restore specified redundancy conditions and/or segregation conditions, wherein the vehicle is transitioned to a safe state using at least one failover apparatus when at least one specified redundancy condition and/or at least one segregation condition cannot be met by the reconfiguration, and/or a specified time for reconfiguration is exceeded, and/or an unrecoverable malfunction has been recognized, wherein the at least one failover apparatus plans an emergency trajectory using a trajectory planner, wherein sensor data are detected via separate signal lines and supplied to the at least one failover apparatus, and wherein control signals are generated and transmitted via separate control lines to an actuator system of the vehicle.

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 User Remote 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 User Remote 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.

In various embodiments, a vehicle-to-everything (V2X) processing device detecting a misbehavior condition in a system of the vehicle, and prevent the vehicle from sending a V2X message related to the detected misbehavior condition in response to detecting the misbehavior condition in the system of the vehicle. In some embodiments, the V2X processing device may receive information from a plurality of information sources of the vehicle, and may detect the misbehavior condition in the system of the vehicle by performing a cross-check of information received from the plurality of information sources of the vehicle to detect an inconsistency within the received information.

In various embodiments, a vehicle-to-everything (V2X) processing device detecting a misbehavior condition in a system of the vehicle, and prevent the vehicle from sending a V2X message related to the detected misbehavior condition in response to detecting the misbehavior condition in the system of the vehicle. In some embodiments, the V2X processing device may receive information from a plurality of information sources of the vehicle, and may detect the misbehavior condition in the system of the vehicle by performing a cross-check of information received from the plurality of information sources of the vehicle to detect an inconsistency within the received information.

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.