Abstract: A method for video streaming includes receiving video streaming data from a wireless camera. The camera is in wireless communication with a vehicle. The method further includes identifying a stable video region in the video streaming data received from the wireless camera, detecting stale video content in the video streaming data based on the stable video region, and in response to detecting the stale video content in the video streaming data, providing a notification to a vehicle occupant, via a display of the vehicle. The notification is indicative that a video streamed in the display of the vehicle is stale. The method described in this paragraph improves video and vehicle technology by identifying stale video content and notifying the vehicle occupant that the video is stale, thereby preventing the vehicle occupant from relying on stale video content.

Abstract: An image analysis system for a vehicle that analyzes image data captured by one or more peripheral cameras includes one or more controllers that execute instructions to determine a source of the image data. The one or more peripheral cameras are part of a personal mobile device of an occupant of the vehicle. The source of the image data is either an exterior environment surrounding the vehicle or an internal environment representative of an interior cabin of the vehicle.

Abstract: A system for managing wireless connections for a vehicle may include one or more wireless devices, a vehicle communication system, and a vehicle controller in electrical communication with the vehicle communication system. The vehicle controller is programmed to determine a selected device of the one or more wireless devices with which to establish a connection using the vehicle communication system. The vehicle controller is further programmed to establish a wireless connection between the selected device and the vehicle communication system in response to determining the selected device.

Abstract: A method for video streaming includes receiving video streaming data from a wireless camera. The camera is in wireless communication with a vehicle. The method further includes identifying a stable video region in the video streaming data received from the wireless camera, detecting stale video content in the video streaming data based on the stable video region, and in response to detecting the stale video content in the video streaming data, providing a notification to a vehicle occupant, via a display of the vehicle. The notification is indicative that a video streamed in the display of the vehicle is stale. The method described in this paragraph improves video and vehicle technology by identifying stale video content and notifying the vehicle occupant that the video is stale, thereby preventing the vehicle occupant from relying on stale video content.

Abstract: A system for object blurring in compressed videos includes sensors, human machine interfaces (HMIs), and control modules. Each control module has a processor, memory, and input/output (I/O) ports. The control modules communicate with the sensors and the HMIs via the I/O ports. The memory stores control logic that is executed by the processor. The control logic receives raw image data from the sensors, encodes the raw image data into compressed image data and stores the compressed image data in memory. The control logic parses and partially decodes the compressed image data to access raw independent video frames and performs post-processing algorithms on the raw independent video frames to generate post-processed independent video frames. The post-processed independent video frames are encoded and replace raw independent video frames in the compressed image data. The control logic transmits an output including the encoded post-processed independent and dependent video frames to the HMI.

Abstract: A method for video streaming includes receiving an input image from a camera. The input image includes a plurality of input grid areas. The method further includes receiving a template image. The method further includes comparing the matching error with a template-matching error threshold to determine whether the matching error is equal to or greater than the template-matching error threshold in order to identify unmatched grid areas of the input image. The plurality of input grid areas includes the unmatched grid areas and matched grid areas. The matching error of the matched grid areas is not equal to or greater than the template-matching error threshold. The method further includes transmitting the unmatched grid areas of the input image and identification information of the matched grid areas to the vehicle, thereby minimizing bandwidth consumption used during video streaming.

Abstract: Method of detecting and overcoming degradation of image quality during a weather event and activation of windshield wipers. The method takes a high-contrast region of interest (ROI) of an image captured by a camera of a vehicle vision system, applies a Laplacian Operator that focuses on the pixel level in the ROI, and calculates a variance of the Laplacian. Images having an ROI below a predetermined variance threshold are classified or flagged as a low-quality image. Once a low-quality image is flagged, the camera settings can be readjusted in a feedback loop to compensate for the loss in quality of the captured image. This method may be stored as a software routine and implemented by a vision control module of the vision system.

Abstract: A perception system for a motor vehicle includes a camera with a lens having a field of view and configured to focus incident light from the field of view. The field of view includes a road having a road surface. The perception system also includes an imaging sensor arranged in the camera. The imaging sensor has a photosensitive surface defined by an imaging surface area configured to capture the incident light focused from the field of view. A first portion of the imaging surface area is configured to capture an image of the road. The perception system further includes a first polarizer array arranged across the first portion of the imaging surface area and configured to reduce glare from the road surface.

Abstract: A perception system for a motor vehicle includes a camera with a lens having a field of view and configured to focus incident light from the field of view. The field of view includes a road having a road surface. The perception system also includes an imaging sensor arranged in the camera. The imaging sensor has a photosensitive surface defined by an imaging surface area configured to capture the incident light focused from the field of view. A first portion of the imaging surface area is configured to capture an image of the road. The perception system further includes a first polarizer array arranged across the first portion of the imaging surface area and configured to reduce glare from the road surface.

Abstract: A self-cleaning sensor system of a motor vehicle includes an object sensor having a lens surface facing a region located external to the motor vehicle. The object sensor generates a signal associated with an image or a video of the region. The system further includes multiple lens treatment devices for applying remedies for removing an obscurity formed on the lens surface. The system further includes a computer having one or more processors and a computer readable medium storing instructions. The processor is programmed to determine a classification of the obscurity, in response to the processor receiving the signal from the object sensor. The processor is further programmed to generate an actuation signal, and the associated lens treatment device applies the remedy, in response to the associated lens treatment device receiving the actuation signal from the processor.

Abstract: Methods and systems are provided for controlling a position of a lens of a camera of a vehicle. In one embodiment, a method includes: storing, in a data storage device, a first lens position associated with the lens of the camera; receiving, by a processor, sensor data generated by at least one sensor of the vehicle; determining, by the processor, a desire for a change in lens position based on the sensor data; selecting, by the processor, the camera from a plurality of cameras of the vehicle based on the desire for change in lens position; determining, by the processor, a second lens position based on conditions associated with the desire for the change in lens position and the first lens position; and generating, by the processor, control data to control the position of the lens based on the second lens position.

Abstract: Systems, methods, and apparatus are provided for real-time adjustment of image quality parameters. The system includes a controller configured to: acquire an image frame, having a fixed-pixel region that defines a region-of-interest, from one or more imaging devices; apply image processing techniques to determine a modified fixed-pixel region that excludes non-relevant object pixels; alter one or more image quality parameters based on statistics of pixels in the modified fixed-pixel region; and provide the altered one or more image quality parameters to the one or more imaging devices for use with subsequent image frames; wherein the one or more imaging devices produce an image that is tuned, based on the altered one or more image quality parameters, to the portions of the image in the region-of-interest that does not include the non-relevant object pixels.

Abstract: Method of detecting and overcoming degradation of image quality during a weather event and activation of windshield wipers. The method takes a high-contrast region of interest (ROI) of an image captured by a camera of a vehicle vision system, applies a Laplacian Operator that focuses on the pixel level in the ROI, and calculates a variance of the Laplacian. Images having an ROI below a predetermined variance threshold are classified or flagged as a low-quality image. Once a low-quality image is flagged, the camera settings can be readjusted in a feedback loop to compensate for the loss in quality of the captured image. This method may be stored as a software routine and implemented by a vision control module of the vision system.

Abstract: A camera of a vehicle has a field of view. A perception module of the vehicle is configured to determine a location of an object relative to the vehicle based on a model for the camera and a camera ground truth orientation of the camera. A calibration module is configured to: wirelessly receive images from the camera; determine a vehicle camera target based on the images; when the vehicle camera target is aligned with a calibration module target on the calibration module, determine a present orientation of the calibration module measured using a gyroscope of the calibration module; when at least one component of the present orientation of the calibration module is different than the at least one component of an expected orientation of the calibration module, determine an updated camera ground truth orientation of the camera; and wirelessly transmit the updated ground truth orientation to the vehicle.

Abstract: An automotive vehicle includes a sensor configured to detect features external to the vehicle, an HMI configured to signal an alert to an operator of the vehicle, and a controller. The controller is in communication with the sensor and the HMI, and is in communication with a non-transient computer-readable storage medium provided with a road furniture database. The road furniture database includes a plurality of items of road furniture having associated road furniture geolocations and road furniture classifications. The controller is configured to, in response to the vehicle being proximate a respective road furniture geolocation for a respective item of road furniture and the sensor not detecting the respective item of road furniture, control the HMI to signal an alert.

Abstract: An automotive vehicle includes a sensor configured to detect features external to the vehicle, an HMI configured to signal an alert to an operator of the vehicle, and a controller. The controller is in communication with the sensor and the HMI, and is in communication with a non-transient computer-readable storage medium provided with a road furniture database. The road furniture database includes a plurality of items of road furniture having associated road furniture geolocations and road furniture classifications. The controller is configured to, in response to the vehicle being proximate a respective road furniture geolocation for a respective item of road furniture and the sensor not detecting the respective item of road furniture, control the HMI to signal an alert.

Abstract: A system and method of enabling or disabling vehicle features based on vehicle location, wherein the method includes: receiving a localized geographical vehicle feature map at the vehicle from a remote server, wherein the localized geographical vehicle feature map includes geographical vehicle feature map data, wherein the geographical vehicle feature map data includes geographical regions associated with vehicle feature data that indicates whether one or more vehicle features are enabled and/or disabled; monitoring vehicle location; based on the monitoring of the vehicle location, determining that the vehicle is located within or approaching a particular geographical region of the geographical regions included in the localized geographical vehicle feature map; determining at least one vehicle feature associated with the particular geographical region based on accessing the localized geographical vehicle feature map; and enabling and/or disabling the at least one vehicle feature based on information contained

Abstract: A system and method of enabling or disabling vehicle features based on vehicle location, wherein the method includes: receiving a localized geographical vehicle feature map at the vehicle from a remote server, wherein the localized geographical vehicle feature map includes geographical vehicle feature map data, wherein the geographical vehicle feature map data includes geographical regions associated with vehicle feature data that indicates whether one or more vehicle features are enabled and/or disabled; monitoring vehicle location; based on the monitoring of the vehicle location, determining that the vehicle is located within or approaching a particular geographical region of the geographical regions included in the localized geographical vehicle feature map; determining at least one vehicle feature associated with the particular geographical region based on accessing the localized geographical vehicle feature map; and enabling and/or disabling the at least one vehicle feature based on information contained