Abstract: This disclosure provides systems, methods, and devices for vehicle driving assistance systems that support image processing. In a first aspect, a method includes receiving a first image frame from the first camera and a second image frame from the second camera. The method may also include determining a first set of optical flows between the first image frame and the second image frame and determining a second set of optical flows based on the first set of optical flows and positions of the first camera and the second camera on the vehicle. Position data may be determined for objects in an area surrounding the vehicle based on the second set of optical flows. Other aspects and features are also claimed and described.

Abstract: This disclosure provides systems, methods, and devices for vehicle driving assistance systems that support image processing. In a first aspect, a method includes receiving a first image frame from a first camera; receiving second image frame from a second camera. The fields-of-view of the cameras partially overlap. A set of coordinates associated with pixel values of the first image frame and pixel values of the second image frame are determined. The set of coordinates correspond to an overlap of the first field-of-view and the second field-of-view. A first uncertainty window metric is determined based the set of coordinates and first uncertainty values. A second uncertainty window metric is determined based on the first uncertainty values and second uncertainty values associated with RADAR. Fused depth data is determined based on the set of coordinates, the RADAR data, and the first and second uncertainty window metrics. Other aspects and features are also claimed and described.

Abstract: This disclosure provides systems, methods, and devices for vehicle driving assistance systems that support image processing. In a first aspect, a method of image processing includes receiving first and second image data from first and second cameras having different lens types. A first field of view of the second image data overlaps at least a portion of a second field of view of the first image data. The method further includes determining a point in space based on the first image data and the second image data and calculating a distance between the first camera and the point in space based on the lens type of the first camera and the lens type of the second camera. Other aspects and features are also claimed and described.

Abstract: This disclosure provides systems, methods, and devices for vehicle driving assistance systems that support image processing. In a first aspect, a method of image processing includes receiving first image data from a first image sensor of a first camera, receiving second image data from a second image sensor of a second camera, wherein a first field of view of the second image data overlaps at least a portion of a second field of view of the first image data, generating, based on the first image data and the second image data, a bird's eye view composite image, detecting one or more holes in the bird's eye view composite image, and filling the one or more holes in the bird's eye view composite image using one or more rays of the first camera. Other aspects and features are also claimed and described.