An information processing device includes an image analyzing unit. The image analyzing unit includes an object region setting unit configured to set an object region, for image information obtained by capturing an imaging range, the object region corresponding to an object existing in the imaging range; a luminance information acquiring unit configured to acquire luminance information indicating luminance in the imaging range; and a correcting unit configured to correct the object region based on the luminance information in a luminance detection region set in a lower part of the object region.

A vehicular camera monitoring system includes a pair of rearward viewing cameras disposed at a vehicle with overlapping fields of view. A driver-monitoring camera is disposed at the vehicle. An ECU includes an image processor that processes image data captured by the driver-monitor camera and the rearward viewing cameras. A stereographic video display screen is disposed at the vehicle and viewable by the driver of the vehicle. Responsive to processing of image data captured by the driver-monitoring camera, the ECU determines location of each eye of the driver of the vehicle. Responsive to processing of image data captured by each of the rearward viewing cameras, the stereographic video display screen displays video images derived at least in part from image data captured by both rearward viewing cameras and provides depth perception to the driver of the vehicle viewing the displayed video images.

A system detects multiple instances of an object in a digital image by receiving a two-dimensional (2D) image that includes a plurality of instances of an object in an environment. For example, the system may receive the 2D image from a camera or other sensing modality of an autonomous vehicle (AV). The system uses a first object detection network to generate a plurality of predicted object instances in the image. The system then receives a data set that comprises depth information corresponding to the plurality of instances of the object in the environment. The data set may be received, for example, from a stereo camera of an AV, and the depth information may be in the form of a disparity map. The system may use the depth information to identify an individual instance from the plurality of predicted object instances in the image.

An image pick-up apparatus includes a first stereo camera attached to a revolving unit and a second stereo camera attached to the revolving unit. The first stereo camera picks up an image of a first image pick-up range. The second stereo camera picks up an image of a second image pick-up range above or beyond the first image pick-up range.

Disclosed is an image processing apparatus that includes one or more processors; and a memory storing instructions, which when executed by the one or more processors, cause the one or more processors to: generate distribution data indicating a frequency distribution of horizontal distance values of a range image based on the range image having pixel values according to distance of an object in a plurality of captured images; detect an object based on the distribution data with respect to a range image; predict a predicted position of the object in a current frame based on the distribution data with respect to range images of a plurality of previous frames; and integrate a plurality of objects detected by the detector based on the predicted position to track an integrated object in subsequent frames.

A vision system for a vehicle includes a forward viewing camera disposed at a vehicle and viewing forward of the vehicle through the windshield. A control is disposed at the vehicle and includes an image processor operable to process image data captured by the forward viewing camera. An aerial platform is detachably disposed at the vehicle and is operable to detach from and fly at least above the vehicle. The aerial platform includes a drone camera that captures image data and the image data captured by the drone camera is wirelessly communicated to the control. A video display is disposed in the vehicle and is viewable by a driver of the vehicle. The video display, with the aerial platform detached from the vehicle and flying at least above the vehicle, displays video images derived from image data captured by the drone camera for viewing by the driver of the vehicle.

A vehicle periphery monitoring apparatus mounted on a vehicle includes a first imaging unit that captures an image of a rear side and a diagonally backward, a distance detection unit that detects a distance from the vehicle to an object present in the rear side and the diagonally backward, based on the image captured by the first imaging unit, a course prediction unit that predicts a course of the object, based on transition of the distance to the object detected by the distance detection unit, and an entry prediction unit that predicts whether the object enters a door opening and closing area, based on the course of the object predicted by the course prediction unit and the door opening and closing area which is set on sides of the vehicle and defines a movable range in which side doors of the vehicle are opened and closed.

A distance measuring system and a controlling method of the system can reduce power consumption of a distance measuring apparatus acquiring an image including distance information. For example, the distance measuring system includes a distance measuring apparatus acquiring distance information concerning an image capturing target, a calculating unit estimating an estrangement period in which the image capturing target cannot be recognized in an image, based on the distance information, and a controlling unit setting the distance measuring apparatus to a power saving mode of controlling an acquiring frequency of the image according to the estrangement period when the estrangement period is a first threshold value or more, and setting the distance measuring apparatus to a normal mode of controlling the acquiring frequency of the image independently from the estrangement period when the estrangement period is less than the first threshold value.

A vehicular vision system includes a forward viewing camera disposed behind a windshield of a vehicle and viewing forward of the vehicle through the windshield. A control is disposed at the vehicle and includes an image processor operable to process image data captured by the forward viewing camera. A drone includes a drone camera that captures image data. The drone is detachably disposed at the vehicle and is detachable from the vehicle and operable to fly above the vehicle. The drone camera captures image data representative of an area viewed by the drone camera with the drone flying above the vehicle. With the drone detached from the vehicle and flying above the vehicle, the drone communicates a signal to the control. Responsive to receiving the signal communicated by the drone, the control determines a traffic condition ahead of the equipped vehicle.

A stereo image capturing device captures a stereo image with a measurement target range in front of a vehicle as an angle of field, and a display device is disposed so as to cover at least part of the measurement target range as seen from the viewpoint position of a driver inside the vehicle. Then a distance measuring section measures the distances to another object in the measurement target range using the stereo image and identifies the object within a predetermined distance as an obstacle, and an image generating section generates a virtual mirror image that allows at least the vehicle and the obstacle to be seen using a reflection by a mirror in a case where the mirror is assumed to be virtually disposed above a location at which the obstacle is seen from the viewpoint position of the driver in the vehicle, and causes the display device to display the virtual mirror image. The present technology can be applied, for example, to in-vehicle image display systems.