The present technology relates to an imaging control device and method, and a vehicle that enable distance measurement with higher accuracy. An imaging control unit controls imaging by a stereo camera system including at least a set of cameras arranged in a vertical direction, the set of cameras including at least one camera arranged to have an optical axis directed obliquely downward, and a monitoring processing unit performs monitoring processing on the basis of an image captured by the stereo camera system. For example, distance measurement processing is performed on the basis of an image captured by at least the set of cameras arranged to have at least one optical axis directed obliquely downward on a side surface of the vehicle. The present technology can be applied to driving assistance of a vehicle.

A monitoring system includes an imaging unit configured to capture a depth image including a distance to a monitoring target person in a vehicle cabin, an estimation unit configured to estimate a three-dimensional human body model of the monitoring target person from the depth image captured by the imaging unit, and a monitoring unit configured to detect a get-off motion by monitoring a motion of a monitoring target portion of the human body model approaching the monitoring coordinate regarding a door manipulation in the cabin on the basis of the human body model estimated by the estimation unit.

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 rear-stitched view panorama (RSVP) system is provided that includes at least one processor and a memory storing software instructions that, when executed by the least one processor, cause the RSVP system to compute a disparity map for a left center rear image and a right center rear image captured by a stereo camera mounted on a rear of a vehicle, transform a right rear image, a left rear image, a reference center rear image, and the disparity map to a virtual world view, the right rear image and left rear image captured by respective right and left cameras mounted on the vehicle, compute an optimal left seam and an optimal right seam based on the transformed disparity map, and stitch the transformed images based on respective optimal seams to generate a panorama.

In a lens module, a tubular body includes first and second openings at respective first and second ends thereof. Lenses are disposed in the tubular body such that the lenses have a common optical axis. An elastically tubular eccentricity restriction member is coaxially disposed in the tubular body such that the outer periphery of the eccentricity restriction member is in contact with the inner periphery of the tubular body, and the inner periphery of the eccentricity restriction member surrounds the outer periphery of at least one of the lenses while inwardly biasing the outer periphery of the at least one of the lenses. The eccentricity restriction member includes a holder formed at the first end thereof. The holder is attached to one of the lenses that is closest to the first end of the eccentricity restriction member.

An information processing device has an obtaining unit, a controller, and a giving unit. The obtaining unit can obtain vehicle information. The controller creates first warning information when the passability of a road in the vehicle information indicates non-passable. The controller creates recovery information when the passability of the road at the same position in the vehicle information indicates passable, after creation of the first warning information. The giving unit gives the recovery information.

A display system includes a recognizer configured to recognize a surrounding situation of a vehicle, a display configured to display images, and a display controller configured to cause the display to display an image representing a road shape around the vehicle recognized by the recognizer, wherein, when a lane in which the vehicle can travel in the same direction as a travel direction of the vehicle is added, the display controller causes the display to display an image about the added lane outside the image representing the road shape on the side on which the lane is added before the display is caused to display an image representing a shape of the added lane.

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 apparatus including a capture device, an illumination device and a processor. The capture device may be configured to generate pixel data corresponding to an exterior view from a vehicle. The illumination device may be configured to generate light for the exterior view. The processor may be configured to generate video frames from the pixel data, perform computer vision operations on the video frames to detect objects in the video frames and generate a control signal. The objects detected may provide data for a vehicle maneuver. The control signal may adjust characteristics of the light generated by the illumination device. The characteristics of the light may be adjusted in response to the objects detected by the processor. The light from the illumination device may facilitate detection of the objects by the processor.

An image synthesis apparatus includes a rearward camera for capturing a central rearward area relative to a vehicle, a left camera for capturing a left rearward area relative to the vehicle, a right camera for capturing a right rearward area relative to the vehicle, and an image synthesizer that synthesizes a central-rearward-area image captured by the rearward camera, a left-rearward-area image captured by the left camera, and a right-rearward-area image captured by the right camera to generate a rearward-area image showing the whole of the central, left, and right rearward areas relative to the vehicle. When a predetermined condition is met, the image synthesizer further generates a superimposed image in which a computer graphics (CG) image showing the vehicle is superimposed on the rearward-area image and increases the transparency of at least a part of the CG image as time elapses.