Abstract: The present disclosure discloses a system and a method. In an example implantation, the system and the method can receive an image at a first deep neural network, estimate a distance between an object depicted in the image and a vehicle, wherein the first deep neural network estimates the distance, determine whether the estimated distance is greater than a predetermined distance threshold, and generate an alert when the estimated distance is not greater than the predetermined distance threshold.

Abstract: A server includes a memory storing a shared pool of user defined vehicle settings packages and may determine, from the shared pool, one or more settings packages meeting a search request. For each determined settings package, the server may determine compatibility of the determined settings package with configurable systems of a vehicle associated with the search request. The server may also present a selectable list of determined settings packages that are also determined to have a predefined minimum level of compatibility with the vehicle and download a selected settings package to the vehicle, responsive to selection of the selected settings package from the selectable list.

Abstract: A system includes a processor configured to determine that travel data, reflecting previous travel, exists for an upcoming route segment. The processor is also configured to derive a fuel-efficient control strategy for the upcoming segment, based on fuel efficient behavior reflected in the travel data. The processor is further configured to execute the control strategy in a vehicle while the vehicle travels over the route segment to instruct vehicle control in accordance with the control strategy for at least a portion of the segment.

Abstract: The present disclosure discloses a system and a method. In an example implantation, the system and the method can receive an image at a first deep neural network, estimate a distance between an object depicted in the image and a vehicle, wherein the first deep neural network estimates the distance, determine whether the estimated distance is greater than a predetermined distance threshold, and generate an alert when the estimated distance is not greater than the predetermined distance threshold.

Abstract: A vehicle includes a battery. The vehicle includes a controller configured to inhibit battery charge. The charge inhibition is responsive to state of charge (SOC) of the battery achieving a cascading ceiling threshold during grid charge that decreases each day of a multiday period such that each day an SOC increase during the grid charge to achieve the ceiling threshold is same and the SOC achieves a floor threshold upon completion of a final day drive cycle of the multiday period.

Abstract: A server includes a memory storing a shared pool of user defined vehicle settings packages and may determine, from the shared pool, one or more settings packages meeting a search request. For each determined settings package, the server may determine compatibility of the determined settings package with configurable systems of a vehicle associated with the search request. The server may also present a selectable list of determined settings packages that are also determined to have a predefined minimum level of compatibility with the vehicle and download a selected settings package to the vehicle, responsive to selection of the selected settings package from the selectable list.

Abstract: A vehicle includes an electric machine, a battery, an interface, and a controller. The electric machine is configured to propel the vehicle. The battery is configured to provide electrical power to the electric machine. The controller is programmed to, display a distance-to-empty prediction on the interface. The controller is also programmed to, in response to detecting a change in a cargo load on the vehicle, adjust the distance-to-empty prediction based on shared data from other vehicles.

Abstract: Systems and methods for enforcing plugin vehicle parking regulations are disclosed. Exemplary implementations may: capture parked vehicle images of a parked vehicle in a parking location from a plurality of cameras on electric vehicle service equipment systems (EVSEs) in a parking facility; compare the parked vehicle images to a plurality of plugin vehicle type images in a database; and sound an alarm if the parked vehicle is not a plugin vehicle or if the parked vehicle is not charging from the electric vehicle service equipment systems associated with the parking location within a predetermined time.

Abstract: A system includes a processor configured to determine that travel data, reflecting previous travel, exists for an upcoming route segment. The processor is also configured to derive a fuel-efficient control strategy for the upcoming segment, based on fuel efficient behavior reflected in the travel data. The processor is further configured to execute the control strategy in a vehicle while the vehicle travels over the route segment to instruct vehicle control in accordance with the control strategy for at least a portion of the segment.

Abstract: A vehicle includes a battery. The vehicle includes a controller configured to inhibit battery charge. The charge inhibition is responsive to state of charge (SOC) of the battery achieving a cascading ceiling threshold during grid charge that decreases each day of a multiday period such that each day an SOC increase during the grid charge to achieve the ceiling threshold is same and the SOC achieves a floor threshold upon completion of a final day drive cycle of the multiday period.

Abstract: Systems and methods for enforcing plugin vehicle parking regulations are disclosed. Exemplary implementations may: capture parked vehicle images of a parked vehicle in a parking location from a plurality of cameras on electric vehicle service equipment systems (EVSEs) in a parking facility; compare the parked vehicle images to a plurality of plugin vehicle type images in a database; and sound an alarm if the parked vehicle is not a plugin vehicle or if the parked vehicle is not charging from the electric vehicle service equipment systems associated with the parking location within a predetermined time.

Abstract: A computing device, programmed to: acquire a color image and transform the color image into a color-component map. The computer can be further programmed to process the color-component map to detect a traffic sign by determining spatial coincidence and determining temporal consistency between the color-component map and the traffic sign.

Abstract: A computing device, programmed to: acquire a color image and transform the color image into a color-component map. The computer can be further programmed to process the color-component map to detect a traffic sign by determining spatial coincidence and determining temporal consistency between the color-component map and the traffic sign.

Abstract: A computing device in a vehicle, programmed to predict a collision risk by comparing an acquired occupant facial expression to a plurality of stored occupant facial expressions, and, brake a vehicle based on the collision risk. The computing device can be programmed to predict a collision risk by determining a number of seconds until a negative event, including a collision, a near-miss, or vehicle miss-direction, is predicted to occur at a current vehicle trajectory.