Abstract: Methods and systems are provided for generating image data from a vehicle having a plurality of cameras. A method includes: activating, by the processor, initial video feed from each of the plurality of cameras; determining, by the processor, configuration parameters for each of the plurality of cameras based on the initial video feed; in response to a trigger event, performing frame synchronization of subsequent video feed from each of the plurality of cameras based on the configuration parameters; and generating, by the processor, the image data based on the frame synchronization.

Abstract: Methods and systems are provided for generating a virtual view of a scene associated with a vehicle. In one embodiment, a method includes: obtaining image data including a plurality of images captured by a plurality of cameras of the vehicle; obtaining steering angle data captured by a sensor of the vehicle; detecting, by a processor, a shadow in at least one image of the plurality of images; determining, by the processor, auto-white balance data for each image of the plurality of images; selectively combining, by the processor, the auto-white balance data of the images based on the detected shadow, and the steering angle data; and generating, by the processor, output image data based on the combined auto-white balance data and the image data.

Abstract: Systems and methods enhanced image processing with dynamic pixel density restoration and clarity retrieval for scaled imagery including a camera configured to capture an image having a first resolution and a first image clarity, an image processor for receiving the image, scaling the image to a second resolution to generate a scaled image resulting in the scaled image having a second image clarity, the image processor being further operative to adjust a sharpness of the scaled image to generate an adjusted scaled image such that the adjusted scaled image has the first image clarity, a driving assistance processor for generating a motion path in response to the adjusted scaled image, and a vehicle controller for controlling a vehicle in response to the motion path.

Abstract: A dimension calculation system in a host vehicle for dynamically calculating a vehicle dimension using solar shadow information is disclosed. The system is configured to: calculate solar position and an expected vehicle shadow based on geocode location, time and vehicle dynamics; detect an actual vehicle shadow in an image from a vehicle camera; compare the actual vehicle shadow to an expected vehicle shadow; determine a dimension profile and max height point for a vehicle plus vehicle cargo based on a comparison of the actual vehicle shadow to the expected vehicle shadow; calculate a confidence level for the dimension profile and max height point for the vehicle plus cargo; and use the dimension profile and max height point to provide one or more dimension notifications when the confidence level for the dimension profile and max height point for the vehicle plus cargo are above a first threshold level.

Abstract: An in-vehicle violence detection system includes a speech and non-speech audio recognition module capturing occupant threat words and non-speech audio events. In-vehicle accelerometers generate data analyzed in a shaking movement recognition module. A heart rate and breathing rate detection module measures physiological changes in occupant heart rates and breathing rhythms. An in-vehicle semantic scene recognition module analyzes occupant non-verbal interactions. Occupant threat indicators including an audible threat indicator are generated by the speech and non-speech audio event recognition module. Visual threat indicators are generated by the in-vehicle semantic scene recognition module. Physiological threat indicators are generated by the heart rate and breathing rate detection module. Vibration-based threat indicators are generated by the shaking movement recognition module.

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: Methods and systems are provided for generating a virtual view of a scene associated with a vehicle. In one embodiment, a method includes: obtaining image data including a plurality of images captured by a plurality of cameras of the vehicle; obtaining steering angle data captured by a sensor of the vehicle; detecting, by a processor, a shadow in at least one image of the plurality of images; determining, by the processor, auto-white balance data for each image of the plurality of images; selectively combining, by the processor, the auto-white balance data of the images based on the detected shadow, and the steering angle data; and generating, by the processor, output image data based on the combined auto-white balance data and the image data.