A system in a vehicle includes processing circuitry to identify a selected side mirror by determining whether a driver is looking at a first side mirror or a second side mirror based on head pose or gaze direction detection. The system also includes an interface to control adjustment of a position of the selected side mirror based on driver input.

A computer includes a processor and a memory, the memory storing instructions executable by the processor to collect biometric data of a vehicle user, identify a set of user-specific data from one or more stored sets of user-specific data based on the biometric data, and receive a request for a stored location. When the biometric data of the vehicle user match the stored biometric data, the instructions include instructions to display the requested location. When the biometric data of the vehicle user do not match the stored biometric data, the instructions include instructions to identify an offset location based on the requested location and a population density of the requested location and display the offset location.

Redundant vehicle controls based on user presence and position are disclosed herein. A method can include determining a presence and a position of a driver in a sensing zone of a vehicle using a sensor platform integrated into the vehicle. The sensing zone is associated with a primary driving interface of the vehicle. Determining when the position of the driver indicates that the driver is not in a fully-seated position relative to a driver's seat of the vehicle, and that the vehicle is in a non-seated drive mode where the driver is permitted to operate the vehicle while not being in the fully-seated position. Activating a secondary driving interface of the vehicle when the driver is not in a fully-seated position and the vehicle is in the selected driving mode. The secondary driving interface can be used in combination with the primary driving interface.

Systems and methods by a telematics server are provided. The method includes receiving, over a network, training data including model input data and a known output label corresponding to the model input data from a first device, training a centralized machine-learning model using the training data, determining, by the centralized machine-learning model, an output label prediction certainty based on the model input data, determining an increase in the output label prediction certainty over a prior predicted output label certainty of the centralized machine-learning model, and sending, over the network, a machine-learning model update to a second device in response to determining that the increase in the output label prediction certainty is greater than an output label prediction increase threshold.

Presented are intelligent vehicle systems with networked on-body vehicle cameras with camera-view augmentation capabilities, methods for making/using such systems, and vehicles equipped with such systems. A method for operating a motor vehicle includes a system controller receiving, from a network of vehicle-mounted cameras, camera image data containing a target object from a perspective of one or more cameras. The controller analyzes the camera image to identify characteristics of the target object and classify these characteristics to a corresponding model collection set associated with the type of target object. The controller then identifies a 3D object model assigned to the model collection set associated with the target object type. A new “virtual” image is generated by replacing the target object with the 3D object model positioned in a new orientation. The controller commands a resident vehicle system to execute a control operation using the new image.

A display system may include a camera configured to capture an image of a calibration reference associated with an automobile, a display, and a controller in communication with the camera and the display. The controller may be configured to selectively adjust a color temperature of the display based on the image of the calibration reference.

An equipment inspection system receives data captured by a sensor of an autonomous vehicle (AV). The captured data describes a current state of equipment for servicing the AV. The equipment inspection system compares the captured data to a model describing an expected state of the equipment. The equipment inspection system determines, based on the comparison, that the equipment differs from the expected state. The equipment inspection system may transmit data describing the current state of the equipment to an equipment manager. The equipment manager may schedule maintenance for the equipment based on the current state of the equipment.

A rearview display system is provided for a vehicle having: a rear camera generating a rearward video stream, a right-side camera generating a right-side stream, and a left-side camera generating a left-side stream. The system includes a processing circuit for generating a composite video stream from: (a) the rearward stream and the right-side stream, (b) the rearward stream and the left-side stream, and (c) at least the rearward stream. When the composite stream is formed from the rearward stream and the right-side stream, the rearward stream extends across the whole composite stream with the exception of a right corner where the right-side stream is superimposed over the rearward stream. When the composite stream is formed from the rearward stream and the left-side stream, the rearward stream extends across the whole composite stream with the exception of a left corner where the left-side stream is superimposed over the rearward stream.

A navigation method, an electronic device and a readable storage medium, which relate to a field of vehicle networking technology, and in particular to a field of navigation technology. The navigation method includes: acquiring a real world image and a navigation information; converting the real world image to obtain a projection image, wherein the projection image is matched with an eyebox of at least one pair of vehicle-mounted glasses; superimposing the navigation information on the projection image to obtain a navigation image; and transmitting to the vehicle-mounted glasses the navigation image so that the navigation image is displayed by the vehicle-mounted glasses.

An automatic fill control system on a material loading vehicle generates an output indicative of a current fill level of a receiving vehicle into which the material loading vehicle is loading material. A fill level processing system generates a fill parameter indicative of when the receiving vehicle will reach a target capacity. The fill parameter is communicated to a mobile application on a mobile device in a receiving vehicle.