Abstract: A system for calculating a visibility range from a vehicle is disclosed. The system comprises a high dynamic range image sensor system comprising a pixel array including a plurality of pixels. The image sensor further includes readout circuitry in electrical communication with each pixel of the pixel array. The readout circuitry is operable to readout a distinct pixel value corresponding to one of a plurality of exposure times for each pixel in a single image frame. The system further comprises at least one processor in communication with the readout circuitry. The processor is operable to calculate a visibility range from the vehicle based on a plurality of image processing algorithms.

Abstract: A system is provided for assisting a driver of a vehicle with parallel parking of the vehicle. The system includes at least one imager positioned to capture images of a scene to at least a side of the vehicle and to output image data, and an image processor for processing the image data received from the at least one imager to create an orthographic projection from the image data, where the orthographic projection shows side views of parking spaces and a graphic representation of the vehicle to be parked shown in relative locations to the parking spaces to enable the driver to determine the relative size of the parking spaces.

Abstract: An illumination system for a medical suite comprises a light assembly comprising at least one illumination source configured to selectively direct a light emission in a region of the surgical suite. The system further comprises an imager configured to capture image data in a field of view in the medical suite. A controller is in communication with the light assembly and the imager. The controller is configured to detect a location of the marker in the image data and control the light assembly to direct the light emission within the region based on the location of the marker.

Abstract: An imaging system and method for fog detection are disclosed herein. An imager is configured to image a scene external and forward of a controlled vehicle and to generate image data corresponding to the acquired images. A controller is configured to receive and analyze the image data. When exterior lights of the controlled vehicle are operated in a low beam state, the controller is able to detect light sources of interest in the image data, determine if each light source of interest is a foggy light or a clear light, and generate a first signal if a fog entry condition is satisfied.

Abstract: A system for calculating a visibility range from a vehicle is disclosed. The system comprises a high dynamic range image sensor system comprising a pixel array including a plurality of pixels. The image sensor further includes readout circuitry in electrical communication with each pixel of the pixel array. The readout circuitry is operable to readout a distinct pixel value corresponding to one of a plurality of exposure times for each pixel in a single image frame. The system further comprises at least one processor in communication with the readout circuitry. The processor is operable to calculate a visibility range from the vehicle based on a plurality of image processing algorithms.

Abstract: A system for controlling equipment of a vehicle is provided. The system is configured to image a scene external and forward of the controlled vehicle and to generate image data corresponding to acquired images including a controller for receiving and analyzing the image data and for generating a control signal in response to analysis of the image data and in response to a selected mode of operation. The controller analyzes the data in order to detect at least one characteristic in the image data and selects a mode of operation from at least one of the following modes of operation: the controller selects a dark village mode if at least one characteristic reaches a first threshold, a bright village mode if at least one characteristic reaches a second threshold, and a non-village mode if the controller is not operating in either the dark village mode or the bright village mode.

Abstract: An imaging system and method for fog detection are disclosed herein. An imager is configured to image a scene external and forward of a controlled vehicle and to generate image data corresponding to the acquired images. A controller is configured to receive and analyze the image data. When exterior lights of the controlled vehicle are operated in a low beam state, the controller is able to detect light sources of interest in the image data, determine if each light source of interest is a foggy light or a clear light, and generate a first signal if a fog entry condition is satisfied.

Abstract: An exterior light control system is provided for controlling exterior lights of a vehicle. The system includes an imaging system configured to image a forward external scene and to generate image data corresponding to the acquired images; and a controller configured to receive and analyze the image data and for generating an exterior light control signal that is used to control the exterior lights in response to analysis of the image data. The controller is further configured to analyze the image data to detect a semi-truck. When a semi-truck is detected, the controller generates an exterior light control signal that indicates the detection of a semi-truck or simply the presence of an oncoming vehicle. The controller may detect groups of lights belonging to a semi-truck other than headlamps, e.g., cab lights, so that a semi-truck may be detected even when the headlamps of the semi-truck are not detected due to being blocked by a roadside barrier.

Abstract: An exterior light control system is provided for controlling exterior lights of a vehicle. The system includes an imaging system configured to image a forward external scene and to generate image data corresponding to the acquired images; and a controller configured to receive and analyze the image data and for generating an exterior light control signal that is used to control the exterior lights in response to analysis of the image data. The controller is further configured to analyze the image data to detect a semi-truck. When a semi-truck is detected, the controller generates an exterior light control signal that indicates the detection of a semi-truck or simply the presence of an oncoming vehicle. The controller may detect groups of lights belonging to a semi-truck other than headlamps, e.g., cab lights, so that a semi-truck may be detected even when the headlamps of the semi-truck are not detected due to being blocked by a roadside barrier.

Abstract: A system for controlling equipment of a vehicle is provided. The system is configured to image a scene external and forward of the controlled vehicle and to generate image data corresponding to acquired images, including a controller for receiving and analyzing the image data and for generating a control signal in response to analysis of the image data and in response to a selected mode of operation. The controller analyzes the data in order to detect at least one characteristic in the image data and selects a mode of operation from at least one of the following modes of operation: The controller selects a dark village mode if at least one characteristic reaches a first threshold, a bright village mode if at least one characteristic reaches a second threshold, and a non-village mode if the controller is not operating in either the dark village mode or the bright village mode.

Abstract: A vehicular imaging system for determining roadway width includes an image sensor for capturing images and an image processor for receiving the captured images. The image processor determines roadway width by identifying roadway marker signs and oncoming traffic in processed images captured by the image sensor and determining the number of lanes, vehicle location on the roadway based on the roadway size and/or width and location of oncoming traffic.

Abstract: A vehicular imaging system for determining roadway width includes an image sensor for capturing images and an image processor for receiving the captured images. The image processor determines roadway width by identifying roadway marker signs and oncoming traffic in processed images captured by the image sensor and determining the number of lanes, vehicle location on the roadway based on the roadway size and/or width and location of oncoming traffic.