A vehicle control system for a vehicle can obtain detected event information of a front steering system and use a rear steering system to maneuver the vehicle. The vehicle control system can obtain fault information and determine, based on the fault information, a new destination (different from the originally-intended destination), and maneuver the vehicle to the new destination. This may include rotating the vehicle and subsequently instructing the rear steering system to maneuver the vehicle to a safe destination. The vehicle may include fully autonomous or semi-autonomous capabilities, and accordingly, the vehicle control system can use the rear steering system to maneuver the vehicle to the alternate destination with little or no passenger input. Other components, including a drivetrain system, a braking system, and a suspension system, can also be used to maneuver the vehicle to the new destination.

A driving assistance device in a vehicle, the driving assistance device comprises a control unit configured to perform a lane change from a traveling lane in which the vehicle travels to a branch lane branching from the traveling lane, by driving assistance capable of automatically performing the lane change on an initiative of a system. The control unit acquires a travel distance in the branch lane, an elapsed time in the branch lane, and information indicating passage of an end position of the branch lane detected based on map information or external environment recognition information, after the lane change is completed by crossing a division line of the traveling lane, and ends the driving assistance in the branch lane.

The power supply device includes a low voltage battery, a high voltage battery, a starter generator, a DC-DC converter, a changeover switch, and a controller. When an abnormality or a failure has occurred in the DC-DC converter, the controller controls the changeover switch to connect the starter generator to the other battery without via the DC-DC converter and controls the output of the starter generator corresponding to the connected other battery.

Methods, computing systems, and technology for automated vehicle action generation are presented. For example, a computing system may be configured to receive context data associated with a plurality of user interactions with a vehicle function of a vehicle. The context data may include data indicative of a plurality of user-selected settings for the vehicle function and data indicative of observed conditions associated with the respective user-selected settings. The computing system may be configured to generate, using a machine-learned clustering model, a user-activity cluster for the vehicle function based on the context data. The computing system may be configured to determine an automated vehicle action based on the user-activity cluster. The computing system may output command instructions for the vehicle to implement the automated vehicle action for automatically controlling the vehicle function in accordance with an automated setting based on whether the vehicle detects one or more triggering conditions.

Methods, computing systems, and technology for automated vehicle action generation are presented. For example, a computing system may be configured to receive context data associated with a plurality of user interactions with a vehicle function of a vehicle. The context data may include data indicative of a plurality of user-selected settings for the vehicle function and data indicative of observed conditions associated with the respective user-selected settings. The computing system may be configured to generate, using a machine-learned clustering model, a user-activity cluster for the vehicle function based on the context data. The computing system may be configured to determine an automated vehicle action based on the user-activity cluster. The computing system may output command instructions for the vehicle to implement the automated vehicle action for automatically controlling the vehicle function in accordance with an automated setting based on whether the vehicle detects one or more triggering conditions.

Methods and systems are provided for a vehicle including a first motor coupled to a first gear train, a second motor coupled to a second gear train, and a spool lock configured to variably couple the first gear train and the second gear train, allowing a first torque output by the first motor and a second torque output by the second motor to be combined and output to a first wheel coupled to the first gear train or a second wheel coupled to the second gear train.

Methods, communication devices, and systems are disclosed for automatically controlling sound producing components of a vehicle. In one embodiment, the method includes receiving an incoming communication and sending a first instruction to one or more vehicle components. The first instruction is configured to cause the one or more vehicle components to be placed in a reduced sound producing operational mode.

Methods, communication devices, and systems are disclosed for automatically controlling sound producing components of a vehicle. In one embodiment, the method includes receiving an incoming communication and sending a first instruction to one or more vehicle components. The first instruction is configured to cause the one or more vehicle components to be placed in a reduced sound producing operational mode.

Methods, computing systems, and technology for automated vehicle action generation are presented. For example, a computing system may generate content for presentation to a user via a user interface of a display device. The content may include user interface elements for inputting one or more triggering conditions associated with a vehicle function of a vehicle and one or more settings of the vehicle function. The computing system may receive, via the user interface, data indicative of user input specifying the triggering conditions and data indicative of user input specifying the settings of the vehicle function. The computing system may determine an automated vehicle action that defines a relationship between the triggering conditions and the settings of the vehicle function. The computing system may output command instructions for the vehicle to implement the automated vehicle action for automatically controlling the vehicle function based on whether the vehicle detects the triggering conditions.

Methods, computing systems, and technology for automated vehicle action generation are presented. For example, a computing system may generate content for presentation to a user via a user interface of a display device. The content may include user interface elements for inputting one or more triggering conditions associated with a vehicle function of a vehicle and one or more settings of the vehicle function. The computing system may receive, via the user interface, data indicative of user input specifying the triggering conditions and data indicative of user input specifying the settings of the vehicle function. The computing system may determine an automated vehicle action that defines a relationship between the triggering conditions and the settings of the vehicle function. The computing system may output command instructions for the vehicle to implement the automated vehicle action for automatically controlling the vehicle function based on whether the vehicle detects the triggering conditions.