Abstract: A wearable computing device in a vehicle is identified by a computer in a vehicle. Collected data is received relating to autonomous operation of the vehicle. A message is sent to the wearable computing device based at least in part on the collected data.

Abstract: A vehicle includes at least one autonomous driving sensor and an autonomous mode controller configured to receive signals generated by the autonomous driving sensor. The autonomous mode controller controls at least one vehicle subsystem based at least in part on the signals received. Furthermore, the autonomous mode controller is configured to shade at least one vehicle window when the vehicle is operating in an autonomous mode.

Abstract: A computer in a vehicle is configured to operate the vehicle in at least one of an autonomous and a semi-autonomous mode. The computer is further configured to detect at least one condition of a roadway being traveled by the vehicle, the condition comprising at least one of a restricted lane, a restricted zone, a construction zone, and accident area, an incline, a hazardous road surface. The computer is further configured to determine at least one autonomous action based on the condition, the at least one autonomous action including at least one of altering a speed of the vehicle, controlling vehicle steering, controlling vehicle lighting, transitioning the vehicle to manual control, and controlling a distance of the vehicle from an object.

Abstract: A computer in a first vehicle is configured to receive data relating to a second vehicle. The computer may use the data to determine that the second vehicle is being operated at least partially autonomously. Further, the computer may cause the first vehicle to take an action to autonomously operate the first vehicle based at least in part on determining that the second vehicle is being operated at least partially autonomously.

Abstract: A first vehicle may receive at least one message from a second vehicle, the message including data provided by the second vehicle. A computing device in the first vehicle is configured to analyze the data of the at least one message to determine that the second vehicle can operate as a lead vehicle. The computing device in the first vehicle is further configured to implement at least one operation in the first vehicle according to the data from the lead vehicle.

Abstract: A vehicle is operated at least partially autonomously. A predicted path of the vehicle is monitored to identify an object with which the vehicle is likely to collide. A graphical user interface (GUI) is provided that includes the predicted path, a proposed path for the vehicle to avoid a collision with an object, and the vehicle. A selection is made to follow one of the predicted path and the proposed path. The GUI is updated to include the selected one of the predicted path and the proposed path, along with a location of the vehicle on the selected one of the predicted path and the proposed path.

Abstract: A vehicle includes at least one autonomous driving sensor and an autonomous mode controller configured to receive signals generated by the autonomous driving sensor. The autonomous mode controller controls at least one vehicle subsystem based at least in part on the signals received. Furthermore, the autonomous mode controller is configured to shade at least one vehicle window when the vehicle is operating in an autonomous mode.

Abstract: A vehicle includes at least one side view mirror assembly configured to move to a folded position. A processing device is configured to command the at least one side view mirror assembly to move to the folded position when the vehicle is operating in an autonomous mode. A method includes determining whether a vehicle is operating in an autonomous mode and commanding at least one side view mirror assembly to move to a folded position if the vehicle is operating in the autonomous mode.

Abstract: A first vehicle may receive at least one message from a second vehicle, the message including data provided by the second vehicle. A computing device in the first vehicle is configured to analyze the data of the at least one message to determine that the second vehicle can operate as a lead vehicle. The computing device in the first vehicle is further configured to implement at least one operation in the first vehicle according to the data from the lead vehicle.

Abstract: A computer in a vehicle is configured to operate the vehicle in at least one of an autonomous and a semi-autonomous mode. The computer is further configured to detect at least one condition of a roadway being traveled by the vehicle, the condition comprising at least one of a restricted lane, a restricted zone, a construction zone, and accident area, an incline, a hazardous road surface. The computer is further configured to determine at least one autonomous action based on the condition, the at least one autonomous action including at least one of altering a speed of the vehicle, controlling vehicle steering, controlling vehicle lighting, transitioning the vehicle to manual control, and controlling a distance of the vehicle from an object.

Abstract: A vehicle includes a steering wheel located in a passenger compartment. The steering wheel is configured to be moved from an operational position to a stowed position. In the event of a collision, a first airbag is configured to deploy when the steering wheel is in the operational position and a second airbag is configured to deploy when the steering wheel is in the stowed position.

Abstract: A vehicle includes at least one autonomous driving sensor configured to monitor at least one condition while the vehicle is operating in an autonomous mode. A processing device is configured to control at least one vehicle subsystem while the vehicle is operating in the autonomous mode. The processing device is configured to control the at least one vehicle subsystem according to a driver preference.

Abstract: A vehicle is operated at least partially autonomously. A predicted path of the vehicle is monitored to identify an object with which the vehicle is likely to collide. A graphical user interface (GUI) is provided that includes the predicted path, a proposed path for the vehicle to avoid a collision with an object, and the vehicle. A selection is made to follow one of the predicted path and the proposed path. The GUI is updated to include the selected one of the predicted path and the proposed path, along with a location of the vehicle on the selected one of the predicted path and the proposed path.

Abstract: A computer in a first vehicle is configured to receive data relating to a second vehicle. The computer may use the data to determine that the second vehicle is being operated at least partially autonomously. Further, the computer may cause the first vehicle to take an action to autonomously operate the first vehicle based at least in part on determining that the second vehicle is being operated at least partially autonomously.

Abstract: A wearable computing device in a vehicle is identified by a vehicle in a computer. Collected data is received relating to autonomous operation of the vehicle. A message is sent to the wearable computing device based at least in part on the collected data.

Abstract: A vehicle includes a steering wheel located in a passenger compartment. The steering wheel is configured to be moved from an operational position to a stowed position. In the event of a collision, a first airbag is configured to deploy when the steering wheel is in the operational position and a second airbag is configured to deploy when the steering wheel is in the stowed position.

Abstract: An automotive vehicle may include a navigation system, a speed sensor, an audio, visual or haptic output system, and at least one controller. The controller may be configured to determine if a current speed of the vehicle exceeds a target speed of an upcoming road curvature based on information from the speed sensor and navigation system, to generate a first alert based on a selected driver type via the output system to prompt the driver to disengage the vehicle's accelerator pedal if the current speed of the vehicle exceeds the target speed of the upcoming road curvature, and to generate a second alert after the first alert based on the selected driver type via the output system to prompt the driver to engage the vehicle's brake pedal.

Abstract: An automotive vehicle may include a navigation system, a speed sensor, an audio, visual or haptic output system, and at least one controller. The controller may be configured to determine if a current speed of the vehicle exceeds a target speed of an upcoming road curvature based on information from the speed sensor and navigation system, to generate a first alert based on a selected driver type via the output system to prompt the driver to disengage the vehicle's accelerator pedal if the current speed of the vehicle exceeds the target speed of the upcoming road curvature, and to generate a second alert after the first alert based on the selected driver type via the output system to prompt the driver to engage the vehicle's brake pedal.

Abstract: A control system 20 for an automotive vehicle 22, such as an adaptive cruise control system, is provided including a navigation system 34. The navigation system 34 includes a global positioning system 38. The navigation system 34 detects a ramp and generates a navigation signal including navigation data and map data. A controller 24 is electrically coupled to the navigation system 34. The controller 24 in response to the navigation signal adjusts the speed of the vehicle 22.

Abstract: A control system 20 for an automotive vehicle 22, such as an adaptive cruise control system, is provided including a navigation system 34. The navigation system 34 includes a global positioning system 38. The navigation system 34 detects a ramp and generates a navigation signal including navigation data and map data. A controller 24 is electrically coupled to the navigation system 34. The controller 24 in response to the navigation signal adjusts the speed of the vehicle 22.