Abstract: A method of planning a path for a vehicle. The method includes receiving perception images of an area surrounding the vehicle with at least one sensor and detecting at least one perception task from the perception images with the at least one perception task identifying at least one neighboring vehicle. The method calculates a risk factor for the at least one neighboring vehicle by recognizing a behavior of the at least one neighboring vehicle from the perception images and plans the path for the vehicle based on the at least one perception task and the risk factor. The path is then executed for the vehicle.

Abstract: A method of planning a path for a vehicle is disclosed herein. The method includes receiving a plurality of perception images. At least one perception task is detected from the plurality of perception images including identifying a neighboring vehicle. A plurality of vehicle descriptors of the neighboring vehicle is recognized, and a plurality of predetermined vehicle descriptor sets are associated with a corresponding one of a plurality of cluster values with each cluster value being associated with a risk factor. The risk factor is determined based on mapping the plurality of vehicle descriptors recognized for the neighboring vehicle onto one of the plurality of predetermined vehicle descriptor sets and assigning the risk factor associated with the cluster value to the neighboring vehicle. The path for the vehicle is planned based on the at least one perception task and the risk factor and the path is executed for the vehicle.

Abstract: A system and method of classifying an object. The system includes a polarizing beam splitter, a first detector, a second detector and a processor. The polarizing beam splitter generates a first source signal having a first polarization direction and a second source signal having a second polarization. The first detector transmits the first source signal at the object and receives a first reflected signal generated at the object in response to the first source signal. The second detector transmits the second source signal at the object and receives a second reflected signal generated at the object in response to the second source signal. The processor is configured to compare the first reflected signal to the second reflected signal to classify the object.

Abstract: A multi-directional viewing camera system for a motor vehicle including a vehicle body defining an interior compartment and a body panel having an exterior surface and an interior surface facing the interior compartment. The camera system includes a mirror module for mounting to the body panel exterior surface. The mirror module is configured to capture and transmit incident light from at least one field of view (FOV) and has a polarizing beam splitter configured to reflect an s-polarized component and transmit a p-polarized component of the incident light in a visible spectral range. The camera system also includes a camera module having a video camera for mounting to the body panel interior surface. The camera module is configured to receive from the mirror module the s-polarized or the p-polarized component of the incident light and selectively display at least one FOV within the interior compartment.

Abstract: An automobile includes an electronic control unit (ECU), at least one fiber optical cable, and a sensor unit. The ECU is operational to generate an optical power signal and a first optical communications signal. The fiber optical cable transports the optical power signal and the first optical communications signal. The sensor unit is operational to convert the optical power signal into an electrical power, convert the first optical communications signal into an electrical control signal, measure a first parameter related to the automobile, and generate a second optical communications signal that conveys the first parameter as measured. The fiber optical transports the second optical communications signal to the electronic control unit. The ECU is further operational to convert the second optical communications signal into a first electrical sensed signal that conveys the first parameter, and take an action based on the first parameter in the first electrical sensed signal.

Abstract: A system for a host vehicle operating on a road surface includes a polarimetric camera, a global positioning system (“GPS”) receiver, a compass, and an electronic control unit (“ECU”). The camera collects polarimetric image data of a drive scene, including a potential driving path on the road surface. The ECU receives the polarimetric image data, estimates the Sun location using the GPS receiver and compass, and computes an ideal representation of the road surface using the Sun location. The ECU normalizes the polarimetric image data such that the road surface has a normalized representation in the drive scene, i.e., an angle of linear polarization (“AoLP”) and degree of linear polarization (“DoLP”) equal predetermined fixed values. The ECU executes a control action using the normalized representation.

Abstract: A detection system for a host vehicle includes a camera, global positioning system (“GPS”) receiver, compass, and electronic control unit (“ECU”). The camera collects polarimetric image data forming an imaged drive scene inclusive of a road surface illuminated by the Sun. The GPS receiver outputs a present location of the vehicle as a date-and-time-stamped coordinate set. The compass provides a directional heading of the vehicle. The ECU determines the Sun's location relative to the vehicle and camera using an input data set, including the present location and directional heading. The ECU also detects a specular reflecting area or areas on the road surface using the polarimetric image data and Sun's location, with the specular reflecting area(s) forming an output data set. The ECU then executes a control action aboard the host vehicle in response to the output data set.

Abstract: A method of controlling a color display screen aboard a motor vehicle includes performing, via a host computer, a color calibration test of a user of the motor vehicle in which the user is subjected to a calibrated set of color-coded test information. The method includes receiving a color perception response of the user to the calibrated set of color-coded test information via the host computer. Additionally, the method includes mapping a reduced visual gamut of the user via the host computer using the color perception response, and then commanding adjustment of user-specific color settings of the motor vehicle using the reduced visual gamut to thereby accommodate a color perception deficiency of the user.

Abstract: A windshield corrective optical system includes a motor vehicle having a windshield. A camera is positioned within an occupant compartment of the motor vehicle directed toward the windshield and receiving light rays passing through the windshield. A sensor is configured to receive the light rays. A corrective element is configured to allow passage of the light rays through the corrective element to the sensor. The corrective element corrects aberrations of the light rays induced by passing through the windshield prior to the light rays reaching the sensor.

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 method for deblurring a blurred image includes dividing the blurred image into overlapping regions each having a size and an offset from neighboring overlapping regions along a first direction as determined by a period of a ringing artifact in the blurred image, or by obtained blur characteristics relating to the blurred image and/or attributable to the optical system, or by a detected cause capable of producing the blur characteristics, stacking the overlapping regions to produce a stacked output, wherein the overlapping regions are sequentially organized along the first direction, convolving the stacked output through a first convolutional neural network (CNN) to produce a first CNN output having reduced blur as compared to the stacked output, and assembling the first CNN output into a re-assembled image, and processing the re-assembled image through a second CNN to produce a deblurred image having reduced residual artifacts as compared to the re-assembled image.

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 protective cover for a camera includes a housing configured for attachment to one of the camera and a support structure which supports the camera, a lens attached to the housing and configured for alignment with an imaging axis of the camera, a light source attached to the housing and configured for providing light to a field of view of the camera, and an electrical connector carried by the housing and configured for receiving power and/or signal commands and for conveying the power and/or signal commands to the light source. The lens may be a meniscus-shaped macro lens, and a lightguide may be attached to or incorporated into at least one of the housing and the light source. The protective cover may be used to protect a camera mounted in a wheel well or anywhere along an outer surface of an automotive vehicle.

Abstract: An optical system, and method related thereto, includes a camera configured to capture images. The camera has an adaptive aperture plane configured to change both an aperture size and an aperture shape in response to an aperture signal. The camera also includes a first polarized surface and second polarized surface positioned relative to the adaptive aperture plane, such that light strikes the first polarized surface, the adaptive aperture plane, then the second polarized surface. First and second lenses may be located on opposite sides of the adaptive aperture plane. An image sensor is beyond the second polarized surface and configured to output image signals, and a processor is configured to execute image perception algorithms based on the image signals. The image perception algorithms alter the aperture size and the aperture shape by sending an aperture signal from the processor to the camera for subsequent captured images.

Abstract: Systems and method are provided for generating an image of an environment of a vehicle. In one embodiment, a method includes: determining, by a processor, a first position of a plurality of positions within a first field of view; controlling, by the processor, a discrete scanning device based on the first position; capturing, by an imaging device, pixel data for a plurality of pixels within a second field of view associated with the first position, wherein the second field of view is within the first field of view; and combining, by the processor, the pixel data from the second field of view with pixel data captured from a third field of view associated with one of the plurality of positions to form image data depicting the environment of the vehicle.

Abstract: A vehicle, Lidar system for the vehicle and method of scanning an object with the Lidar system. The Lidar system includes a first quarter wave plate, a first deflection stage and a detector. The first quarter wave plate produces a circularly polarized scanning beam of light. The first deflection stage selects a rotation direction for a polarization vector of the scanning beam and deflects the scanning beam by a selected angle based on the selected rotation direction of the polarization vector. The detector receives a reflected beam that is a reflection of the scanning beam from the object.

Abstract: A protective cover for a camera includes a housing configured for attachment to one of the camera and a support structure which supports the camera, a lens attached to the housing and configured for alignment with an imaging axis of the camera, a light source attached to the housing and configured for providing light to a field of view of the camera, and an electrical connector carried by the housing and configured for receiving power and/or signal commands and for conveying the power and/or signal commands to the light source. The lens may be a meniscus-shaped macro lens, and a lightguide may be attached to or incorporated into at least one of the housing and the light source. The protective cover may be used to protect a camera mounted in a wheel well or anywhere along an outer surface of an automotive vehicle.

Abstract: A vehicle control system for automated driver-assistance includes a low-resolution color camera that captures a color image of a field of view at a first resolution. The vehicle control system further includes a high-resolution scanning camera that captures a plurality of grayscale images, each of the grayscale images at a second resolution. The second resolution is higher than the first resolution. The grayscale images encompass the same field of view as the color image. The vehicle control system further includes one or more processors that perform a method that includes overlaying the plurality of grayscale images over the color image. The method further includes correcting motion distortion of one or more objects in the grayscale images. The method further includes generating a high-resolution output image by assigning color values to one or more pixels in the grayscale images based on the color image using a trained neural network.

Abstract: A visual perception system includes a scanning camera, color sensor with color filter array (CFA), and a classifier node. The camera captures full color pixel images of a target object, e.g., a traffic light, and processes the pixel images through a narrow band pass filter (BPF), such that the narrow BPF outputs monochromatic images of the target object. The color sensor and CFA receive the monochromatic images. The color sensor has at least three color channels each corresponding to different colors of spectral data in the monochromatic images. The classifier node uses a predetermined classification decision tree to classify constituent pixels of the monochromatic images into different color bins as a corresponding color of interest. The color of interest may be used to perform a control action, e.g., via an automated driver assist system (ADAS) control unit or an indicator device.

Abstract: A multi-directional viewing camera system for a motor vehicle including a vehicle body defining an interior compartment and a body panel having an exterior surface and an interior surface facing the interior compartment. The camera system includes a mirror module for mounting to the body panel exterior surface. The mirror module is configured to capture and transmit incident light from at least one field of view (FOV) and has a polarizing beam splitter configured to reflect an s-polarized component and transmit a p-polarized component of the incident light in a visible spectral range. The camera system also includes a camera module having a video camera for mounting to the body panel interior surface. The camera module is configured to receive from the mirror module the s-polarized or the p-polarized component of the incident light and selectively display at least one FOV within the interior compartment.