Abstract: A computer system is in wireless communication with a plurality of vehicles, each of the vehicles equipped with appropriate environmental sensors. Environmental reports are sent from the autonomous vehicles to the computer system using a V2X protocol or the like, and relate to such matters as worn line markings, obstacles on the roadway, and other conditions. The computer system is configured to evaluate the received environmental reports for accuracy. A comparison with similar environmental reports is made, and if there are few or no such reports for the location, an indication is reported to the vehicle that the vehicle's sensors may have a problem. The evaluation can be presented with a degree of confidence, taking into consideration various factors such as frequency of vehicles traversing the location, weather, time of day, etc.

Abstract: A system that includes a vehicle fuel-receiver comprising a port located on a vehicle surface; and an onboard computer programmed to: send a fuel delivery request to an unmanned aerial vehicle (UAV); actuate the port to permit the UAV to deliver fuel; and instruct a communication module to transmit a beacon signal to the UAV.

Abstract: A computer includes a processor and a memory storing instructions executable by the processor to detect a potential hydroplaning area of a roadway based on topographic data and based on vehicle sensor data, and to actuate a component of a vehicle based on a location of the potential hydroplaning area.

Abstract: A vehicle computer comprises a processor and a memory. The memory stores instructions executable by the processor to detect debris flying above a roadway, to input vehicle sensor data to a first classifier that outputs a source of the debris, and based on the source of the debris, to compare sensor data representing the debris to stored reference data to determine a type of physical material included in the debris. The memory stores instruction to input the type of physical material and an environmental condition to a second classifier that outputs a risk assessment, and to actuate the vehicle based on the risk assessment.

Abstract: A method includes storing a detected event code in a first blockchain, wherein each electronic control unit (ECU) in a plurality of ECUs in a vehicle includes a first blockchain node of the first blockchain; determining a validity of each first blockchain node of the first blockchain by determining that the event code is one of (a) stored in the respective first blockchain node of the first blockchain and valid or (b) not stored in the respective first blockchain node of the first blockchain and invalid; and providing the event code and the validity of each first blockchain node of the first blockchain to a second blockchain maintained at least one second blockchain node via a network outside the vehicle.

Abstract: An electronic ledger stores vehicle data including a distance travelled by a vehicle wheel assembly during operation and a number of instances of repair of the vehicle wheel assembly. A health status of the vehicle wheel assembly can be determined based on the vehicle data. Transfer of custody of the vehicle wheel assembly from a first entity to a second entity is based on the health status of the vehicle wheel assembly. Data indicating the custody transfer can be stored to the electronic ledger.

Abstract: Exemplary embodiments described in this disclosure are generally directed to systems and methods for reducing anxiety in an occupant of a vehicle. In one exemplary method, a computer that is provided in a vehicle receives from a source such as a server computer, information that is used to determine a behavioral profile of an occupant of the vehicle. The computer utilizes the behavioral profile to identify a behavior characteristic of the occupant. The behavior characteristic is matched by the computer to one of various behavior categories such as an amaxophobia sufferer category or a controlling personality category. The computer then executes one or more operations in the vehicle based on the behavior category to which the occupant belongs. If the occupant belongs to the amaxophobia sufferer category, the computer may, for example, play an audio track, display a video clip, and/or change a driving characteristic of the vehicle.

Abstract: A vehicle includes a liftgate system for preventing a garage door from closing on a liftgate when the liftgate is open. The liftgate system includes the liftgate and a processor. The liftgate includes an external-facing sensor. The processor is to, when a garage door is open, determine whether the liftgate is in a closing path of the garage door. When the liftgate is in the closing path, the processor causes the liftgate to be lowered to an intermediate position between a fully open position and a fully closed position.

Abstract: This disclosure is generally directed to systems and methods for detecting a water depth level using capacitive sensors. The systems and methods disclosed herein receive a first capacitive signal from a first capacitive sensor in a wheel well of a vehicle. The systems and methods may determine that the first capacitive signal is not below a threshold value. The systems and methods display an image in a cab of the vehicle, wherein the image corresponds to a water depth level associated with the first capacitive signal. The systems and methods receive a second capacitive signal from a second capacitive sensor corresponding to a rising water level. The systems and methods display a warning message, on a display, indicating the rising water level.

Abstract: A system includes a computer having a processor and a memory storing instructions executable by the processor to acquire a first image of a tire of a vehicle upon shutdown of the vehicle. The instructions include instruction to then, upon startup of the vehicle, and in response to determining that the tire is unmoved since the shutdown and, in response, acquire a second image of the tire. The instructions include instruction to actuate a component of the vehicle in response to determining that the first image is different that the second image.

Abstract: Method and apparatus are disclosed for vehicle liftgate control for cargo management. An example vehicle includes a liftgate with a sensor on an inner surface and a processor. The liftgate provides access to a cargo area. The processor, when an object is in the cargo area, detect when the object is banked against the liftgate using measurements from the sensor, and when the object is banked and a command to open the liftgate is received, autonomously opens the liftgate to an intermediate position between fully open and fully closed.

Abstract: A system includes a computer having a processor and a memory storing instructions executable by the processor to acquire a first image of a tire of a vehicle upon shutdown of the vehicle. The instructions include instruction to then, upon startup of the vehicle, and in response to determining that the tire is unmoved since the shutdown and, in response, acquire a second image of the tire. The instructions include instruction to actuate a component of the vehicle in response to determining that the first image is different that the second image.

Abstract: Systems, methods, and computer-readable media are disclosed describing potentially enhanced vehicle safety for passengers using blockchain. Example methods may include tracking a location of a first user using at least one device; determining a first state comprising the first user entering a vehicle with a second user; receiving a first confirmation of the first state from the device; adding a first transaction to a blockchain, the first transaction comprising a description of the first state and the first confirmation; determining a second state comprising the second user exiting the vehicle while the first user remains in the vehicle; and adding a second transaction to the blockchain, the second transaction comprising a description of the second state.

Abstract: Methods and apparatus are disclosed for concealed fiducial markers for vehicle camera calibration. An example vehicle includes a frame, at least one panel coupled to the frame, and fiducial markers arranged in a predefined grid. The fiducial markers are configured to be detectable by a camera and concealed from observation by the human eye. The predefined grid of the fiducial markers is arranged to facilitate calibration of the thermal camera.

Abstract: Exemplary embodiments described in this disclosure are generally directed to systems and methods for providing cautionary driving notifications to a driver of an automobile. The cautionary driving notifications may be generated and stored by the driver himself/herself after driving along a travel route a few times or by a different driver who has driven along the travel route a few times. The notifications, which may be provided in various ways such as by audible warnings or beeps, warn the driver of a driving hazard or a driving limitation that is coming up as the automobile is subsequently driven along the travel route. Some examples of a driving hazard can include a traffic accident or a bad road condition. Some examples of a driving limitation can include a speed limit due to a blind curve in the road or in a school zone during certain times of the day.

Abstract: A system includes a base defining an opening. The system includes a pair of gaskets supported by the base, the opening disposed between the gaskets. The system includes a pair of pads supported by the base, the gaskets disposed between the pads. The system includes a transparent shield supported by the base and movable between a first position and a second position, the shield abutting one of the pads in the first position and the other of the pads in the second position.

Abstract: A dynamic high beam control system includes sensors, high beam headlamps including light pixels, and processors. The processors determine, via the sensors, a direction in which a person is facing. In response to determining that the person is facing the vehicle, the processors determine, via the sensors, a position of the person's face and adjust at least one of the light pixels projecting light to the person's face based on the position.

Abstract: A parking assist system for a vehicle uses cameras to collect ground images at opposite edges of the vehicle. A speed sensor provides a speed signal representing a speed of the vehicle. When speed is less than a threshold, a navigation system compares a geographic location of the vehicle to map data or the camera images are monitored to detect parking zones. A parking controller is coupled to the cameras, a display panel, navigation system, and speed sensor. When the parking controller detects that the geographic location of the vehicle coincides with a parking zone then the parking controller 1) examines the ground images to recognize a pair of edge boundaries of a parking spot, 2) calculates a proportion of an intersection length of the vehicle contained within the boundaries to a full length of the vehicle, and 3) displays the calculated proportion as a percentage on the display panel.

Abstract: A parking assist system for a vehicle uses cameras to collect ground images at opposite edges of the vehicle. A speed sensor provides a speed signal representing a speed of the vehicle. When speed is less than a threshold, a navigation system compares a geographic location of the vehicle to map data or the camera images are monitored to detect parking zones. A parking controller is coupled to the cameras, a display panel, navigation system, and speed sensor. When the parking controller detects that the geographic location of the vehicle coincides with a parking zone then the parking controller 1) examines the ground images to recognize a pair of edge boundaries of a parking spot, 2) calculates a proportion of an intersection length of the vehicle contained within the boundaries to a full length of the vehicle, and 3) displays the calculated proportion as a percentage on the display panel.

Abstract: A method of operating a vehicle may include detecting that a vehicle user is exiting the vehicle, that a user is approaching the vehicle or that the user remote starts the vehicle. Upon the one of these events occurring, automatically conducting a camera lens clearness test. If the test detects an unclear camera lens, notifying the user while outside of the vehicle that the camera lens needs cleaning.