Abstract: An identifier for first set of display content on a vehicle display is input to a statistical model that outputs a plurality of probabilities that a user input will select each of a plurality of second set of display contents for display after the first set of display content is displayed. A first probability is identified for a predicted set of display content that is a highest probability in the plurality of probabilities. The plurality of probabilities are provided to at least one of an optimization model and a neural network upon determining an accuracy of the statistical model is below a threshold. Upon receiving, from the at least one of the optimization model and the neural network, a second probability for the predicted set of display content, the display content is selected based on the first and second probabilities. The vehicle display is updated based on the selected set of display content.

Abstract: The present invention relates to a method for preparing a thermoelectric thick film. The method includes: determining a brittle-to-ductile transition temperature of a thermoelectric material; rolling the blocky thermoelectric material within a temperature range above the brittle-to-ductile transition temperature and below a melting point; parameters of the rolling being as follows: a linear speed of rollers is 0.01 mm/s to 10 mm/s, preferably 0.1 mm/s to 5 mm/s, and an amount of pressing each time of the rollers is controlled at 0.0005 mm to 0.1 mm, preferably 0.001 mm to 0.05 mm; repeating the rolling until a thermoelectric thick film with a specified thickness is obtained; and annealing the obtained thermoelectric thick film; a temperature of the annealing being 100° C. to 800° C., preferably 300° C. to 500° C., and a duration of the annealing being 10 to 500 hours, preferably 100 to 300 hours.

Abstract: A system comprises an image sensor with a field of view of an exterior of a vehicle; a human machine interface (HMI) in the vehicle arranged to display images based on data from the image sensor; and a first computer that includes a processor and a memory. The first computer is programmed to provide data from the image sensor to a machine learning program that outputs a bounding box around an object; cause the bounding box around the object to be displayed via the HMI; and transmit object data including an inputted label identifying the object to a second computer that is remote from the vehicle.

Abstract: This disclosure describes systems and methods for personalized route prediction. An example method may include receiving, at a first time, first input data associated with a first route traversed by a vehicle. The example method may also include populating a first database with the input data. The example method may also include receiving, at a third time, second input data associated with a second route traversed by the vehicle. The example method may also include comparing the second input data to the first input data included within the first database. The example method may also include determining, based on the comparison, a first cluster including the first data and the second input data or a second cluster including the second input data. The example method may also include populating a second database based on the first cluster or the second cluster.

Abstract: Vehicles can be equipped to operate in both autonomous and occupant piloted mode. Refueling stations can be equipped to refuel autonomous vehicles without occupant assistance. Refueling stations can be equipped with a fueling control computer that communicates with vehicles via wireless networks to move vehicles between waiting zones, service zones and served zones. Refueling stations can include liquid fuel, compressed gas and electric charging.

Abstract: A computer includes a processor and a memory storing instructions executable by the processor to receive a series of pressure maps indicating a respective series of sitting positions of an occupant in a seat, wherein the pressure maps include a current pressure map; update a profile of the occupant based on the pressure maps, wherein the profile includes a plurality of clusters of sitting positions and classifications of the clusters as preferred or nonpreferred, and updating the profile includes sorting one of the sitting positions into one of the clusters that is classified as preferred in response to the occupant remaining in that sitting position for greater than a threshold time; and adjust a physical configuration of the seat in response to the current sitting position being in one of the clusters that is classified as nonpreferred.

Abstract: This disclosure is generally directed to systems and methods for protecting the health of occupants of a vehicle. In an example method, a sensor in a vehicle sends sensor data to a computer, based on detecting a symptomatic feature that indicates a health status of a first occupant of the vehicle. In one case, the symptomatic feature may be an elevated body temperature that may be symptomatic of a fever. In another case, the detected symptomatic feature may be a sound emitted by the first occupant such as, for example, a cough, a sneeze, or a wheeze. The computer evaluates the sensor data and identifies a health risk posed by the first occupant to a second occupant of the vehicle. The computer may address the health risk, for example, by modifying an air quality inside the vehicle or by instructing the occupants of the vehicle to don masks.

Abstract: A system comprises an image sensor with a field of view of an exterior of a vehicle; a human machine interface (HMI) in the vehicle arranged to display images based on data from the image sensor; and a first computer that includes a processor and a memory. The first computer is programmed to provide data from the image sensor to a machine learning program that outputs a bounding box around an object; cause the bounding box around the object to be displayed via the HMI; and transmit object data including an inputted label identifying the object to a second computer that is remote from the vehicle.

Abstract: A vehicle may be configured to detect an object within an interior of the vehicle using a vehicle sensor. The vehicle may further determine whether the object should be removed, based on a determined object value, such as may be determined by comparison of an object characteristic to a database of objects. Also, responsive to determining the object should be removed, the vehicle may schedule removal at an automated object-removal center. The vehicle may also wirelessly notify the object-removal center of vehicle arrival when the vehicle arrives at the object-removal center, including sending identification of the object, receiving indication from the object-removal center that the object has been removed, and confirming removal of the object by attempting to detect the object using the vehicle sensor, the confirmation occurring based on non-detection of the object by the vehicle that originally detected the object and requested removal.

Abstract: An identifier for first set of display content on a vehicle display is input to a statistical model that outputs a plurality of probabilities that a user input will select each of a plurality of second set of display contents for display after the first set of display content is displayed. A first probability is identified for a predicted set of display content that is a highest probability in the plurality of probabilities. The plurality of probabilities are provided to at least one of an optimization model and a neural network upon determining an accuracy of the statistical model is below a threshold. Upon receiving, from the at least one of the optimization model and the neural network, a second probability for the predicted set of display content, the display content is selected based on the first and second probabilities. The vehicle display is updated based on the selected set of display content.

Abstract: A computer includes a processor and a memory storing instructions executable by the processor to receive a series of pressure maps indicating a respective series of sitting positions of an occupant in a seat, wherein the pressure maps include a current pressure map; update a profile of the occupant based on the pressure maps, wherein the profile includes a plurality of clusters of sitting positions and classifications of the clusters as preferred or nonpreferred, and updating the profile includes sorting one of the sitting positions into one of the clusters that is classified as preferred in response to the occupant remaining in that sitting position for greater than a threshold time; and adjust a physical configuration of the seat in response to the current sitting position being in one of the clusters that is classified as nonpreferred.

Abstract: A vehicle includes one or more vehicle-exterior displays and a processor. The vehicle receives indication of a second proximate vehicle, the indication including viewing preferences for an occupant of the second proximate vehicle. The vehicle selects content for display on at least one of the vehicle-exterior displays and selects at least one display having an exterior orientation determined to be viewable based on a heading of the second proximate vehicle. The vehicle then displays the selected content on the selected display.

Abstract: A vehicle includes one or more vehicle-exterior displays and a processor. The vehicle receives indication of a second proximate vehicle, the indication including viewing preferences for an occupant of the second proximate vehicle. The vehicle selects content for display on at least one of the vehicle-exterior displays and selects at least one display having an exterior orientation determined to be viewable based on a heading of the second proximate vehicle. The vehicle then displays the selected content on the selected display.

Abstract: A vehicle includes a controller, programmed to responsive to user input to pick up an item at a shop, calculate an estimated time of arrival (ETA) to the shop and a predicted preparation time for the item by the shop; and responsive to a current time being within a grace period to the preparation time before the ETA, place an order for the item.

Abstract: A vehicle includes one or more vehicle-exterior displays and a processor. The vehicle receives indication of a second proximate vehicle, the indication including viewing preferences for an occupant of the second proximate vehicle. The vehicle selects content for display on at least one of the vehicle-exterior displays and selects at least one display having an exterior orientation determined to be viewable based on a heading of the second proximate vehicle. The vehicle then displays the selected content on the selected display.

Abstract: Vehicles can be equipped to operate in both autonomous and occupant piloted mode. Refueling stations can be equipped to refuel autonomous vehicles without occupant assistance. Refueling stations can be equipped with wireless networks that communicate with vehicles to permit autonomous vehicles to self-schedule refueling at fueling stations serving a mixture of autonomous, semi-autonomous and occupant piloted vehicles.

Abstract: Vehicles can be equipped to operate in both autonomous and occupant piloted mode. Refueling stations can be equipped to refuel autonomous vehicles without occupant assistance. Refueling stations can be equipped with a fueling control computer that communicates with vehicles via wireless networks to move vehicles between waiting zones, service zones and served zones. Refueling stations can include liquid fuel, compressed gas and electric charging.

Abstract: This disclosure describes systems, methods, and devices related to vehicle display enhancement. For example, a vehicle may receive data associated with a user of a vehicle, wherein the data is associated with eyewear worn by the user or information associated with a user profile. The device may identify a first object in a field of vision of the user while the user is situated in the vehicle. The device may apply first enhancement to the first object based on the data. The device may display the first enhancement on a display device of the vehicle.

Abstract: A vehicle may be configured to detect an object within an interior of the vehicle using a vehicle sensor. The vehicle may further determine whether the object should be removed, based on a determined object value, such as may be determined by comparison of an object characteristic to a database of objects. Also, responsive to determining the object should be removed, the vehicle may schedule removal at an automated object-removal center. The vehicle may also wirelessly notify the object-removal center of vehicle arrival when the vehicle arrives at the object-removal center, including sending identification of the object, receiving indication from the object-removal center that the object has been removed, and confirming removal of the object by attempting to detect the object using the vehicle sensor, the confirmation occurring based on non-detection of the object by the vehicle that originally detected the object and requested removal.

Abstract: Vehicles can be equipped to operate in both autonomous and occupant piloted mode. Refueling stations can be equipped to refuel autonomous vehicles without occupant assistance. Refueling stations can be equipped with a fueling control computer that communicates with vehicles via wireless networks to move vehicles between waiting zones, service zones and served zones. Refueling stations can include liquid fuel, compressed gas and electric charging.