Systems for aiding a vehicle driver are disclosed. A system may comprise an imager having a field of view forward relative a vehicle and operable to capture a first image. The system may further comprise a controller communicatively connected to the imager. The controller may be operable to detect a road sign in the first image, to interpret the road sign, and to provide an graphic representation of the road sign and/or provide an auditory response based, at least in part on the road sign. The graphic representation may be displayed by a rear-view assembly. The auditory response may be emitted by a speaker. In some embodiments, a location may be associated with one or more road sign interpretation and both the location and interpretation may be transmitted to a remote server.

Described examples relate to an apparatus comprising one or more image sensors coupled to a vehicle and at least one processor. The at least one processor may be configured to capture, in a burst sequence using the one or more image sensors, multiple frames of an image of a scene, the multiple frames having respective, relative offsets of the image across the multiple frames and perform super-resolution computations using the captured, multiple frames of the image of the scene. The at least one processor may also be configured to accumulate, based on the super-resolution computations, color planes and combine, using the one or more processors, the accumulated color planes to create a super-resolution image of the scene.

A driver-assistance device includes: a memory; and a processor including hardware. The processor is configured to: acquire both line-of-sight information on a line of sight of a driver and image data resulting from imaging surroundings of a vehicle; set a display position and display contents of an image generated from the image data based on the line-of-sight information; and output the display position and the display contents together with the image.

A display device for a vehicle, including: a rear imaging section that captures a rear image; a rear lateral imaging section that captures rear lateral images; and a control section that generates a combined image in which a rear processed image obtained by processing the rear image with a first parameter, and rear lateral processed images obtained by processing rear lateral images with a second parameter, are combined, wherein the control section further identifies an object existing in the rear image or the rear lateral images; acquires relative information including relative position and relative speed of the object with respect to the vehicle, and blind spot regions of the combined image; and, based thereon, if the object will disappear from the combined image due to entering into the blind spot regions, changes the blind spot regions by adjusting the first and second parameters.

An apparatus comprising a memory and one or more processing circuits is provided. The memory stores a blend table having blend weights. The processing circuits, for partitions of the blend table: determine whether a subset of the pixels associated with the partition includes pixels associated with seamlines defined in a three-dimensional surface representation of the scene. If none of the subset of the pixels are associated with the seamlines, the processing circuits populate a region of the virtual image corresponding to the partition with pixel values from an image captured by one of the plurality of image capture devices. If one or more of the subsets of the pixels is associated with the seamlines, the processing circuits populate the region of the virtual image associated with the partition with blended pixel values from two or more images captured by two or more of the plurality of image capture devices.

Systems and methods for the simultaneous localization and mapping of autonomous vehicle systems are provided. A method includes receiving a plurality of input image frames from the plurality of asynchronous image devices triggered at different times to capture the plurality of input image frames. The method includes identifying reference image frame(s) corresponding to a respective input image frame by matching the field of view of the respective input image frame to the fields of view of the reference image frame(s). The method includes determining association(s) between the respective input image frame and three-dimensional map point(s) based on a comparison of the respective input image frame to the one or more reference image frames. The method includes generating an estimated pose for the autonomous vehicle the one or more three-dimensional map points. The method includes updating a continuous-time motion model of the autonomous vehicle based on the estimated pose.

A system, method, and non-transitory computer-readable medium are provided for creating a freeform field of view mask for a camera in a vehicle to increase the field of view of the camera during operation of the vehicle. The camera captures an image of a portion of the vehicle in front of a calibration screen. A processor includes logic that applies a blurring filter to the captured image to create a blurred image, determines a freeform boundary of a field of view of the camera in the blurred image, creates a field of view mask based on the freeform boundary; and applies the field of view mask to the camera for maximizing the field of view of the camera during operation of the vehicle.

An information processing device includes: an acquisition unit that acquires a captured image; a superimposition unit that generates a superimposition image in which images are superimposed on unused areas of the captured image; and a determination unit that determines a state of the captured image on the basis of characteristics of areas on which the images are superimposed in the superimposition image transmitted from the superimposition unit.

A system and method are provided for aiding an operator in operating a vehicle. In one embodiment, a system includes a sensor system configured to generate sensor data sensed from an environment of the vehicle. The system further includes a control module configured to, by a processor, determine a scene of the environment based on the sensor data, memorize a shape of at least one feature in the scene, modify video data based on the memorized shape, and present the modified video data for display to the operator.

System, methods, and other embodiments described herein relate to aiding a user navigating a vehicle by displaying on a display device, a view of a front or rear of the vehicle with three-dimensional guideline walls overlaying the view. In one embodiment, a method includes, acquiring data that specifies a steering angle for the vehicle. The method includes determining, based on the steering angle data, a left three-dimensional guideline wall and a right three-dimensional guideline wall that together identify a potential path of travel for the vehicle. Each three-dimensional guideline wall has a height based at least on a height of a portion of the vehicle, and wherein the left and right three-dimensional guideline walls have a distance therebetween based at least on a width of the vehicle.