Abstract: A vehicle includes a sensor configured to detect a first road feature, an adjustable suspension system, and a processing device. The processing device is configured to determine, using a drive history map, a location of the vehicle based on the first road feature and apply a suspension profile to the suspension system. The suspension profile is associated with a second road feature identified by the drive history map, which is at a different location from the first road feature.

Abstract: A method for providing path attributes to controllers in a vehicle includes managing a subscription list that indicates what type of messages or data to which each of a plurality of controllers of a vehicle are subscribed. The method includes determining a future driving path for the vehicle and determining forward path attributes for the future driving path based on a drive history. The method includes selecting one or more controllers from the plurality of controllers to receive each of the forward path attributes based on the subscription list. The method includes providing each of the forward path attributes to the selected one or more controllers. The forward path attributes are provided using a common protocol for each of the plurality of controllers and two or more of the plurality of controllers receive a specific path attribute via a single message.

Abstract: Embodiments include a vehicle system comprising a display capable of displaying a message indicating automatic activation of a driver assistance feature; at least one electronic control unit configured to determine whether preset driving conditions are met; and a processor configured to cause the display to display the message upon receiving a notification indicating satisfaction of the conditions, initiate a countdown, and automatically activate the driver assistance feature upon completion of the countdown. Embodiments also include a method of activating a driver assistance feature in a vehicle. The method includes receiving, at a processor, a notification indicating satisfaction of preset driving conditions; in response, displaying, on a display, a message indicating automatic activation of the driver assistance feature; initiating a countdown, using the processor; and automatically activating the driver assistance feature, using the processor, upon completion of the countdown.

Abstract: Systems, methods, and devices for network-based storage of vehicle and infrastructure data for vehicle optimization are disclosed. A method includes receiving sensor data from a vehicle sensor, uploading the sensor data to a network, and storing the sensor data in a vehicle map database. The method includes downloading aggregated drive data from the network and storing the aggregated drive data in the vehicle map database. The method includes optimizing a vehicle route based on route costs for a plurality of potential driving routes based on a reliability of an automated driving feature or driver assistance feature.

Abstract: Method and apparatus are disclosed for a driver interactive system for semi-autonomous modes of a vehicle. An example disclosed vehicle with semiautonomous features includes memory and a processor. The example processor causes the vehicle to determine, with a driver identification sensor, the identity of a driver. The example processor also causes the vehicle to determine which semiautonomous features are flagged for training based on a driver profile of the identified driver. Additionally, the example processor causes the vehicle to, in response to the driver activating one of the flagged semiautonomous features, provide an audiovisual description of the semiautonomous feature.

Abstract: A current state of a vehicle can be identified. At least a minimum acceleration capability of the vehicle is determined. A desired acceleration profile to follow is determined based at least in part on the minimum acceleration capability. An acceleration of the vehicle is controlled based at least in part on the desired acceleration profile.

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: An example vehicle system includes a speed sensor that measures a speed of a host vehicle and a processing device programmed to compare the speed to a speed threshold and determine an amount of time the speed is below the speed threshold. The processing device detects the presence of a traffic control device based on the amount of time the speed is below the speed threshold.

Abstract: A method for routing a vehicle includes determining, based on aggregated drive data from a plurality of sources, route costs for a plurality of potential driving routes for a vehicle based on reliability of an automated driving feature or driver assistance feature. The method includes selecting a route of the one or more potential driving routes based on the route costs. The method includes providing information about the route to a driver, automated driving system, or driver assistance system.

Abstract: A vehicle camera cleaning system includes an air source and a computer processing unit configured to communicate with the air source. The air source is configured to apply an air flow to a lens of a camera. The camera includes a successive and repeated operational mode and non-operational mode. The computer processing unit includes a non-transitory computer readable medium having instructions to cause the computer processing unit to transmit a signal to the air source to actuate the air flow based on the camera being in the non-operational mode.

Abstract: A computer is programmed to score a requested vehicle lane change and actuate vehicle components to perform the lane change upon determining that the score is less than a predetermined threshold within the predetermined time.

Abstract: Method and apparatus are disclosed for a driver interactive system for semi-autonomous modes of a vehicle. An example disclosed vehicle with semiautonomous features includes memory and a processor. The example processor causes the vehicle to determine, with a driver identification sensor, the identity of a driver. The example processor also causes the vehicle to determine which semiautonomous features are flagged for training based on a driver profile of the identified driver. Additionally, the example processor causes the vehicle to, in response to the driver activating one of the flagged semiautonomous features, provide an audiovisual description of the semiautonomous feature.

Abstract: A confidence value is determined for data collected for a lane assist subsystem in a vehicle. A section curvature is identified for a section of a roadway when the confidence value is below a confidence value, threshold. The section curvature includes at least one section start point and at least one section end point. The section curvature is based at least in part on a heading angle, the heading angle defining an angle between a projected line of travel of the vehicle and a line segment from a vehicle position to the section end point. A distance to a lane boundary is predicted based at least in part on the identified section curvature. One or more vehicle subsystems is actuated based at least in part on the predicted distance to the lane boundary.

Abstract: A control system for a vehicle includes a computer. The computer is programmed to command application of one of up to a predetermined steering torque value and up to a predetermined net asymmetric braking force value. Each predetermined force is selected to achieve a predetermined vehicle yaw torque that is at most the lesser of a first maximum yaw torque resulting from actuating a steering system and a second maximum yaw torque resulting from actuating a brake system.

Abstract: A method for providing path attributes to controllers in a vehicle includes managing a subscription list that indicates what type of messages or data to which each of a plurality of controllers of a vehicle are subscribed. The method includes determining a future driving path for the vehicle and determining forward path attributes for the future driving path based on a drive history. The method includes selecting one or more controllers from the plurality of controllers to receive each of the forward path attributes based on the subscription list. The method includes providing each of the forward path attributes to the selected one or more controllers. The forward path attributes are provided using a common protocol for each of the plurality of controllers and two or more of the plurality of controllers receive a specific path attribute via a single message.

Abstract: A method for routing a vehicle includes determining, based on roadway section information for two or more potential driving routes for a vehicle, a first route along which a driver assistance feature or an automated driving feature will not be available and a second route along which the driver assistance feature or the automated driving feature will be available. The method further includes providing navigation instructions for the second route to a driver or control system.

Abstract: Systems and methods for adaptive cruise control based on user defined parameters are disclosed. An example disclosed vehicle includes a GPS receiver configured to provide a location of the vehicle, an adaptive cruise control; and a cruise control adjuster. In the example cruise control adjuster is configured to generate an action when a cruise control event is defined for the location. In the disclosed example the cruise control event is based on past changes to the adaptive cruise control at the location. The example cruise control adjuster is also configured to apply the action to the adaptive cruise control to change how the adaptive cruise control controls the vehicle.

Abstract: A system includes a processor configured to receive information relating to a vehicle location. The processor is also configured to determine one or more filters, based on the received information, for filtering out a plurality of non-specified locations from varied location types. Further, the processor is configured to apply filters for each varied location type to select a plurality of non-specified locations. The processor is also configured to calculate an estimated time of arrival (ETA), for each of the selected locations, and deliver the selected locations and the calculated ETAs to a vehicle.

Abstract: A method for routing a vehicle includes identifying one or more driving routes between a current location of a vehicle and a destination. The method includes determining a route cost for the one or more driving routes based on lane marking quality of a roadway within a corresponding driving route. The method includes selecting a route of the one or more routes with a lowest route cost. The method includes providing information about the route to a driver or control system for following the route.

Abstract: A method for providing path attributes to controllers in a vehicle includes determining a location of a vehicle and a future driving path for the vehicle. The method includes determining, based on a drive history for the vehicle or a driver of the vehicle, drive history path attributes for the future driving path. The method also includes providing the drive history path attributes to a plurality of controllers via a controller bus, wherein the drive history path attributes are provided to the plurality of controllers using a common protocol.