Abstract: A display system for a vehicle comprises an imager configured to capture image data in a field of view rearward relative the vehicle. The system further comprises a display device and a controller. The display device comprises a screen disposed in a passenger compartment of the vehicle. The controller is in communication with the imager and the display device. The controller is operable to process the image data to identify at least one feature. Based on a position or orientation of the at least one feature in the image data, the controller adjusts at least one of a position and an orientation of a desired view of the image data for display on the screen.

Abstract: A display system is provided for a vehicle equipped with a camera for supplying streamed video images of a scene rearward of the vehicle. The display system includes an image processing unit for receiving the streamed video images and processing the streamed video images, and a display for displaying the processed streamed video images. To perform processing of the streamed video images, the image processing unit is configured to: detect amplitude-modulated light sources in the streamed video images, classify the detected amplitude-modulated light sources into one of several possible classifications, select the streamed video images in which an amplitude-modulated light source is detected that flickers based upon the classification of the amplitude-modulated light source, and modify the selected streamed video images to correct for flicker of any amplitude-modulated light sources in the selected streamed video images.

Abstract: A display system is provided for a vehicle equipped with a camera for supplying streamed video images of a scene rearward of the vehicle. The display system includes an image processing unit for receiving the streamed video images and processing the streamed video images, and a display for displaying the processed streamed video images. To perform processing of the streamed video images, the image processing unit is configured to: detect amplitude-modulated light sources in the streamed video images, classify the detected amplitude-modulated light sources into one of several possible classifications, select the streamed video images in which an amplitude-modulated light source is detected that flickers based upon the classification of the amplitude-modulated light source, and modify the selected streamed video images to correct for flicker of any amplitude-modulated light sources in the selected streamed video images.

Abstract: A display system for a vehicle is disclosed. The system comprises an imager configured to capture image data in a field of view rearward relative the vehicle. The system further comprises a display device and a controller. The display device comprises a screen disposed in a passenger compartment of the vehicle. The controller is in communication with the imager and the display device. The controller is operable to process the image data to identify at least one feature. Based on a position or orientation of the at least one feature in the image data, the controller adjusts at least one of a position and an orientation of a desired view of the image data for display on the screen.

Abstract: A high dynamic range imager system is provided that includes an imager having a pixel array, and memory in communication with the pixel array, the memory comprising a plurality of memory cells, wherein the number of memory cells is approximately the number of whole row-times of exposures between the first conditional reset and row readout.

Abstract: An automatic vehicle equipment control system and methods thereof are provided, the system includes at least one imager configured to acquire a continuous sequence of high dynamic range single frame images, a processor, a color spectral filter array including a plurality of color filters, at least a portion of which are different colors, and pixels of an imager pixel array being in optical communication with substantially one spectral color filter, and a lens, wherein the imager is configured to capture a non-saturated image of nearby oncoming headlamps and at least one of a diffuse lane marking and a distant tail lamp in one image frame of the continuous sequence of high dynamic range single frame images, and the system configured to detect at least one of said highway markings and said tail lamps, and quantify light from the oncoming headlamp from data in the one image frame.

Abstract: An imaging system configured to capture an image is provided, the imaging system including a high dynamic range imager configured to capture at least one high dynamic range image, and circuitry, wherein scheduling tasks within a row time interval is arranged to permit sharing of circuits used for correlated double sampling with selective reset tasks and with pixel readout tasks, and wherein scheduling tasks within a row time interval is arranged to permit sharing of comparator with selective reset tasks and with pixel readout tasks, while also providing at least one selectable integration period for which the integration period is adjustable and set to substantially less than a row time interval.

Abstract: An image acquisition and processing system includes an image sensor and one or more processors that are configured to receive at least a portion of at least one image from the image sensor. The dynamic aim of the image sensor is configured as a function of at least one feature extracted from at least a portion of an image. To accomplish the task, the system utilizes a series of adaptive thresholds used in parallel comparators to determine whether or not a pixel in a given image scene falls on the edge of a given lane line on a road. The location of the lane lines are then used to determine the scene vanishing point, which ideally will be co-located at the optical scene center. If they are not in agreement, the pixel data set being processed can be adjusted to accommodate for any disagreement.

Abstract: A high dynamic range imager system is provided that includes an imager having a pixel array, and memory in communication with the pixel array, the memory comprising a plurality of memory cells, wherein the number of memory cells is approximately the number of whole row-times of exposures between the first conditional reset and row readout.

Abstract: A classification system and method are provided, wherein the classification system includes a memory device, a processor communicatively connected to the memory device, and an input communicatively connected to the processor, wherein the input is configured to receive data comprising at least one object that is to be classified as one of an object of interest (OOI) and a nuisance of interest (NOI) based upon at least one non-Boolean attribute of the object, wherein the processor is configured as a Bayesian classifier to classify the object based upon the non-Boolean attribute using a non-linear probability function.

Abstract: An automatic vehicle equipment control system and methods thereof are provided, the system includes at least one imager configured to acquire a continuous sequence of high dynamic range single frame images, a processor, a color spectral filter array including a plurality of color filters, at least a portion of which are different colors, and pixels of an imager pixel array being in optical communication with substantially one spectral color filter, and a lens, wherein the imager is configured to capture a non-saturated image of nearby oncoming headlamps and at least one of a diffuse lane marking and a distant tail lamp in one image frame of the continuous sequence of high dynamic range single frame images, and the system configured to detect at least one of said highway markings and said tail lamps, and quantify light from the oncoming headlamp from data in the one image frame.

Abstract: A classification system and method are provided, wherein the classification system includes a memory device, a processor communicatively connected to the memory device, and an input communicatively connected to the processor, wherein the input is configured to receive data comprising at least one object that is to be classified as one of an object of interest (OOI) and a nuisance of interest (NOI) based upon at least one non-Boolean attribute of the object, wherein the processor is configured as a Bayesian classifier to classify the object based upon the non-Boolean attribute using a non-linear probability function.

Abstract: An automatic vehicle equipment control system and methods thereof are provided, the system includes at least one imager configured to acquire a continuous sequence of high dynamic range single frame images, a processor, a color spectral filter array including a plurality of color filters, at least a portion of which are different colors, and pixels of an imager pixel array being in optical communication with substantially one spectral color filter, and a lens, wherein the imager is configured to capture a non-saturated image of nearby oncoming headlamps and at least one of a diffuse lane marking and a distant tail lamp in one image frame of the continuous sequence of high dynamic range single frame images, and the system configured to detect at least one of said highway markings and said tail lamps, and quantify light from the oncoming headlamp from data in the one image frame.

Abstract: An image acquisition and processing system includes an image sensor and one or more processors that are configured to receive at least a portion of at least one image from the image sensor. The dynamic aim of the image sensor is configured as a function of at least one feature extracted from at least a portion of an image. To accomplish the task, the system utilizes a series of adaptive thresholds used in parallel comparators to determine whether or not a pixel in a given image scene falls on the edge of a given lane line on a road. The location of the lane lines are then used to determine the scene vanishing point, which ideally will be co-located at the optical scene center. If they are not in agreement, the pixel data set being processed can be adjusted to accommodate for any disagreement.

Abstract: An automatic vehicle equipment control system and methods thereof are provided, the system includes at least one imager configured to acquire a continuous sequence of high dynamic range single frame images, a processor, a color spectral filter array including a plurality of color filters, at least a portion of which are different colors, and pixels of an imager pixel array being in optical communication with substantially one spectral color filter, and a lens, wherein the imager is configured to capture a non-saturated image of nearby oncoming headlamps and at least one of a diffuse lane marking and a distant tail lamp in one image frame of the continuous sequence of high dynamic range single frame images, and the system configured to detect at least one of said highway markings and said tail lamps, and quantify light from the oncoming headlamp from data in the one image frame.

Abstract: An improved image acquisition and processing system includes an image sensor and one or more processors that are configured to receive at least a portion of at least one image from the image sensor. The dynamic aim of the image sensor is configured as a function of at least one feature extracted from at least a portion of an image. The processors are further configured to generate at least one vehicle equipment control signal as a function of the extracted feature.

Abstract: An improved image acquisition and processing system includes an image sensor and one or more processors that are configured to receive at least a portion of at least one image from the image sensor. The dynamic aim of the image sensor is configured as a function of at least one feature extracted from at least a portion of an image. The processors are further configured to generate at least one vehicle equipment control signal as a function of the extracted feature.

Abstract: An apparatus is provided that includes at least one image sensor, and at least one processor. The processor is configured to receive at least a portion of at least one image from the at least one image sensor, wherein an aim of the at least one image sensor is a function of the at least one image. The processor is further configured to generate at least one vehicle equipment control signal as a function of at least one feature extracted from at least a portion of at least one image.

Abstract: A vehicular vision system is disclosed comprising a high dynamic range. The systems and methods are advantages for rear vision, collision avoidance, obstacle detection, adaptive cruise control, rain sensing, exterior light control, and lane departure warning, as well as other applications where a given scene may comprise objects having widely varying brightness values.

Abstract: The present invention relates to various apparatus, algorithms and methods for acquiring and processing images of a scene. Details of various aspects of the associated images are identified and may be utilized to generate various vehicular equipment control signals.