Systems and methods for map construction using a video sequence captured on a camera of a vehicle in an environment, comprising: receiving a video sequence from the camera, the video sequence including a plurality of image frames capturing a scene of the environment of the vehicle; using a neural camera model to predict a depth map and a ray surface for the plurality of image frames in the received video sequence; and constructing a map of the scene of the environment based on image data captured in the plurality of frames and depth information in the predicted depth maps.

Read electrodes are provided to drain signal charge of pixels from photoelectric conversion units provided in the pixels separately to a vertical transfer unit. During a first exposure period during which an object is illuminated with infrared light, signal charge obtained from a first pixel, and signal charge obtained from a second pixel adjacent to the first pixel, are added together in the vertical transfer unit to produce first signal charge. During a second exposure period during which the object is not illuminated with infrared light, signal charge obtained from the first pixel, and signal charge obtained from the second pixel adjacent to the first pixel, are transferred without being added to the first signal charge in the vertical transfer unit, and are added together in another packet to produce second signal charge.

Automatic method for coordinative measuring of a measurement space with a stationary terrestrial scanning measuring device having an emitting unit for directed emission of radiation as a free beam and at least one camera arranged in known spatial relationship to the emitting unit.

Automatic method for coordinative measuring of a measurement space with a stationary terrestrial scanning measuring device having an emitting unit for directed emission of radiation as a free beam and at least one camera arranged in known spatial relationship to the emitting unit.

A method and an apparatus of processing traffic data, a device, a medium and a product are provided. The method of processing traffic data includes: acquiring initial traffic data for a vehicle, wherein the initial traffic data includes current position information of the vehicle, position information of a plurality of traffic objects and feature information; determining a relative positional relationship between the current position information of the vehicle and the position information of the plurality of traffic objects; and processing the initial traffic data based on at least one of the feature information and the relative positional relationship to acquire at least one traffic data set, so as to navigate the vehicle based on the at least one traffic data set.

An object of the present invention is to provide an information display system and the like capable of showing to an object person viewing a display portion, such as a display, an object displayed on the display portion from a point of view of the operator in an accurate manner. The information display system includes: a plurality of imaging apparatuses that image an object from a point of view that differs from a point of view of a user; and a display portion that displays the object from the point of view of the user, wherein the information display system generates three-dimensional information of the object on the basis of imaging information obtained by imaging the object by the plurality of imaging apparatuses and displays, on the basis of the three-dimensional information, the object on the display portion from the point of view of the user.

Systems and methods for map construction using a video sequence captured on a camera of a vehicle in an environment, comprising: receiving a video sequence from the camera, the video sequence including a plurality of image frames capturing a scene of the environment of the vehicle; using a neural camera model to predict a depth map and a ray surface for the plurality of image frames in the received video sequence; and constructing a map of the scene of the environment based on image data captured in the plurality of frames and depth information in the predicted depth maps.

A facility, comprising systems and methods, for providing enhanced situational awareness to captured image data is disclosed. The disclosed techniques are used in conjunction with image data, such as a real-time or near real-time image stream captured by a camera attached to an unmanned system, previously captured image data, rendered image data, etc. The facility enhances situational awareness by projecting overlays onto captured video data or wrapping captured image data with previously-captured and/or synthetic world information, such as satellite images, computer-generated images, wire models, textured surfaces, and so on. The facility also provides enhanced zoom techniques that allow a user to quickly zoom in on an object or area of interest using a combined optical and digital zoom technique. Additionally, the facility provides a digital lead indicator designed to reduce operator-induced oscillations in commanding an image capturing device.

A three-dimensional (3D) measuring device and a method are provided. The measuring device includes a processor system including a scanner controller. A housing is provided with a 3D scanner that is coupled to the processor system. The scanner determining a first distance to a first object point and cooperating with the processor system to determine 3D coordinates of the first object point. The measuring device further includes a photogrammetry camera coupled to the housing, the photogrammetry camera having a lens and an image sensor that define a field of view. The photogrammetry camera is arranged to position the field of view at least partially in a shadow area, the shadow area being outside of the scan area.

A distance-measuring device includes first and second stereoscopic cameras each to be used to measure the distance to an object included in an imaging range. The first stereoscopic camera includes two imaging elements arranged side by side in a first direction, and the second stereoscopic camera includes two imaging elements arranged side by side in a second direction. The second direction is defined as a direction which intersects a plane containing the first direction and an imaging direction of the first stereoscopic camera.