Abstract: In one example, a semiconductor device can comprise a substrate, a device stack, first and second internal interconnects, and an encapsulant. The substrate can comprise a first and second substrate sides opposite each other, a substrate outer sidewall between the first substrate side and the second substrate side, and a substrate inner sidewall defining a cavity between the first substrate side and the second substrate side. The device stack can be in the cavity and can comprise a first electronic device, and a second electronic device stacked on the first electronic device. The first internal interconnect can be coupled to the substrate and the device stack. The encapsulant can cover the substrate inner sidewall and the device stack and can fill the cavity. Other examples and related methods are disclosed herein.

Abstract: A display device includes a first substrate, a first electrode above the first substrate, a pixel-defining film above the first electrode, and defining an emission area, a light-emitting layer above the first electrode and the pixel-defining film, a second electrode above the light-emitting layer, a thin-film encapsulation structure above the second electrode, and including an organic film defining an opening, and a color control layer above the thin-film encapsulation structure in the opening.

Abstract: Augmented reality displays for locating vehicles are disclosed herein. An example method includes determining a current location of a mobile device associated with a user, determining a current location of a vehicle, and generating augmented reality view data that includes a first arrow that identifies a path of travel for the ridehail user towards the vehicle. The path of travel is based on the current location of the mobile device and the current location of the vehicle. The first arrow is combined with a view obtained by a camera of the mobile device or a view obtained by a camera of the vehicle.

Abstract: Methods and systems are provided for a start/stop feature. In one example, a method includes adjusting start/stop conditions in response to a vehicle operator customizing start/stop conditions. The vehicle operator customizes start/stop conditions for a plurality of different driving conditions.

Abstract: A server includes a processor, programmed to receive a vehicle location from a vehicle, receive a weather condition of the vehicle location from a cloud server, responsive to receiving a calendar of a user including an event, calculate a departure time based on the vehicle location and a location of the event, responsive to receiving a desired cabin temperature of the user from a mobile device, calculate a minimum time for the vehicle to reach the desired cabin temperature based on the weather condition, calculate a vehicle start time using the departure time and the minimum time, and send an instruction to the vehicle to start at the vehicle start time.

Abstract: Methods and systems are provided for a start/stop feature. In one example, a method includes adjusting start/stop conditions in response to a vehicle operator customizing start/stop conditions. The vehicle operator customizes start/stop conditions for a plurality of different driving conditions.

Abstract: A parking space can be identified. A lateral clearance can be identified when a vehicle is parked in the parking space based on identifying a first door of the vehicle to be provided the lateral clearance when the vehicle is parked. A parking position of the vehicle in the parking space can be determined, including a parking bias angle ? between a vehicle longitudinal axis and a parking space longitudinal center axis, and a lateral offset of the vehicle with respect to the parking space longitudinal center axis, based on dimensions of the parking space and the lateral clearance.

Abstract: A system for a vehicle includes a memory configured to store modeling parameters, generated using an algorithm that assigns relevance scores to features, that specify information indicative of how configuration data including information indicative of use of features of the vehicle classifies which user is currently using the vehicle. The system also includes a processor programmed to monitor the vehicle for the configuration data, identify a most likely user profile using the modeling parameters according to the configuration data, and apply settings of the user profile to the vehicle.

Abstract: Augmented reality displays for locating vehicles are disclosed herein. An example method includes determining a current location of a mobile device associated with a user, determining a current location of a vehicle, and generating augmented reality view data that includes a first arrow that identifies a path of travel for the ridehail user towards the vehicle. The path of travel is based on the current location of the mobile device and the current location of the vehicle. The first arrow is combined with a view obtained by a camera of the mobile device or a view obtained by a camera of the vehicle.

Abstract: Vehicle manufacturers may leverage one vehicle of a household to gain intelligence to determine whether a new vehicle may be purchased or an existing vehicle may be replaced for the household. Techniques include identifying a home geofence space that identifies the household at the household address for the vehicle. The sensor data from the vehicle can be used to identify other vehicles within the home geofence space. When other vehicles are identified that match appropriate criteria, the other vehicles may be associated with the household. Further observation of the other vehicles and the behavior of the members of the household can be used to identify when an existing vehicle of the household may be replaced and/or a new vehicle may be purchased. Upon determining that a new or replacement vehicle may be purchased, marketing materials may be provided to the household to aid the household with purchasing the new vehicle.

Abstract: A vehicle includes a camera configured to capture an image; and a controller programmed to analyze quality of the image to calculate a lens cleanliness, responsive to detect the lens cleanliness being below a predefined threshold, identify a carwash station within a predefined distance from a navigation route, indicate the carwash station to a vehicle user, and responsive to receiving user input selecting the carwash station, set the carwash station as a navigation destination.

Abstract: Vehicle manufacturers may leverage one vehicle of a household to gain intelligence to determine whether a new vehicle may be purchased or an existing vehicle may be replaced for the household. Techniques include identifying a home geofence space that identifies the household at the household address for the vehicle. The sensor data from the vehicle can be used to identify other vehicles within the home geofence space. When other vehicles are identified that match appropriate criteria, the other vehicles may be associated with the household. Further observation of the other vehicles and the behavior of the members of the household can be used to identify when an existing vehicle of the household may be replaced and/or a new vehicle may be purchased. Upon determining that a new or replacement vehicle may be purchased, marketing materials may be provided to the household to aid the household with purchasing the new vehicle.

Abstract: A vehicle includes a camera; a wireless transceiver; and a controller, programmed to responsive to receiving an input requesting to save a location, record a current location of the vehicle, activate the camera to capture an image, and associate the image with the location, responsive to receiving, via the wireless transceiver, a wireless transmission from an advertising business containing a promotion icon, identify the advertising business in the image and modify the image by overlaying the promotion icon on the image to highlight the advertising business, and generate a location report incorporating the location and the image as modified.

Abstract: A parking space can be identified. A lateral clearance can be identified when a vehicle is parked in the parking space based on identifying a first door of the vehicle to be provided the lateral clearance when the vehicle is parked. A parking position of the vehicle in the parking space can be determined, including a parking bias angle ? between a vehicle longitudinal axis and a parking space longitudinal center axis, and a lateral offset of the vehicle with respect to the parking space longitudinal center axis, based on dimensions of the parking space and the lateral clearance.

Abstract: A server includes a processor, programmed to receive a vehicle location from a vehicle, receive a weather condition of the vehicle location from a cloud server, responsive to receiving a calendar of a user including an event, calculate a departure time based on the vehicle location and a location of the event, responsive to receiving a desired cabin temperature of the user from a mobile device, calculate a minimum time for the vehicle to reach the desired cabin temperature based on the weather condition, calculate a vehicle start time using the departure time and the minimum time, and send an instruction to the vehicle to start at the vehicle start time.

Abstract: A vehicle includes a camera configured to capture an image; and a controller programmed to analyze quality of the image to calculate a lens cleanliness, responsive to detect the lens cleanliness being below a predefined threshold, identify a carwash station within a predefined distance from a navigation route, indicate the carwash station to a vehicle user, and responsive to receiving user input selecting the carwash station, set the carwash station as a navigation destination.

Abstract: A system for a vehicle includes a memory configured to store modeling parameters, generated using an algorithm that assigns relevance scores to features, that specify information indicative of how configuration data including information indicative of use of features of the vehicle classifies which user is currently using the vehicle. The system also includes a processor programmed to monitor the vehicle for the configuration data, identify a most likely user profile using the modeling parameters according to the configuration data, and apply settings of the user profile to the vehicle.

Abstract: A memory is configured to store listener data indicative of radio stations listened to by a plurality of listeners and genre classifications of the radio stations. A processor is programmed to combine a plurality of the genre classifications into a single combined genre classification responsive to listener behavior across the plurality of listeners indicating overlap in listening to the plurality of the genre classifications; separate one of the genre classifications into a plurality of separated genre classifications responsive to listener behavior across the plurality of listeners indicating disparate subsets of radio stations within the one of the genre classifications; and reclassify the radio stations according to the genre classifications as updated.

Abstract: Systems and methods evaluating and predicting fuel station usage are provided herein. An example method includes establishing geo-fencing parameters around one or more fueling stations; determining when vehicles encounter geo-fences of the fueling stations based on the geo-fencing parameters, such that encounters relative to the geo-fences are associated with entry timestamps; determining an aggregate number of the vehicles encountering each of the geo-fences over a period of time based on the entry timestamps; determining waiting times for the vehicles at each of the fueling stations; and transmitting a message to a portion of the vehicles that indicate which of the fueling stations are busy or have short wait times based on the aggregate number of the vehicles encountering each of the geo-fences and the waiting times.

Abstract: A memory is configured to store listener data indicative of radio stations listened to by a plurality of listeners and genre classifications of the radio stations. A processor is programmed to combine a plurality of the genre classifications into a single combined genre classification responsive to listener behavior across the plurality of listeners indicating overlap in listening to the plurality of the genre classifications; separate one of the genre classifications into a plurality of separated genre classifications responsive to listener behavior across the plurality of listeners indicating disparate subsets of radio stations within the one of the genre classifications; and reclassify the radio stations according to the genre classifications as updated.