An approach is provided for pole extraction from optical imagery. The approach involves, for instance, processing a plurality of images using a machine learning model to generate a plurality of redundant observations of a pole-like object and/or their semantic keypoints respectively depicted in the plurality of images. The approach also involves performing a photogrammetric triangulation of the plurality of redundant observations to determine three-dimensional coordinate data of the pole-like object and/or their semantic keypoints. The approach further involves providing the three-dimensional coordinate data of the pole-like object as an output.

An approach is provided for pole extraction from optical imagery. The approach involves, for instance, processing a plurality of images using a machine learning model to generate a plurality of redundant observations of a pole-like object and/or their semantic keypoints respectively depicted in the plurality of images. The approach also involves performing a photogrammetric triangulation of the plurality of redundant observations to determine three-dimensional coordinate data of the pole-like object and/or their semantic keypoints. The approach further involves providing the three-dimensional coordinate data of the pole-like object as an output.

The present disclosure pertains to a system for providing persistent mission data to a fleet of vehicles. In some implementations, the system receives (i) information related to a first vehicle's location, the altitude of the first vehicle, and the first vehicle's orientation from the one or more first sensors and (ii) imagery data from one or more second sensors disposed on the first vehicle, wherein the imagery data includes instantaneous imagery and previously recorded imagery. The system geolocates the imagery data based on the first vehicle's altitude and the first vehicle's orientation relative to the terrain. The system transmits one or both of the instantaneous imagery or the previously recorded imagery to a fleet of vehicles. The system effectuates presentation of the imagery data on a three dimensional topographical map of the terrain.

In one embodiment, an aerial collection system includes an image collection field vehicle that travels at street level and an image collection aerial vehicle that travels in the air above the street. The aerial vehicle collects image data including at least a portion of the field vehicle. The field vehicle includes a marker, which is identified from the collected image data. The marker is analyzed to determine an operating characteristic of the aerial vehicle. In one example, the operating characteristic in the marker includes information for a flight instruction for the aerial vehicle. In another example, the operating characteristic in the marker includes information for the three dimensional relationship between the vehicles. The three dimensional relationship is used to combine images collected from the air and images collected from the street level.

In one embodiment, an aerial collection system includes an image collection field vehicle that travels at street level and an image collection aerial vehicle that travels in the air above the street. The aerial vehicle collects image data including at least a portion of the field vehicle. The field vehicle includes a marker, which is identified from the collected image data. The marker is analyzed to determine an operating characteristic of the aerial vehicle. In one example, the operating characteristic in the marker includes information for a flight instruction for the aerial vehicle. In another example, the operating characteristic in the marker includes information for the three dimensional relationship between the vehicles. The three dimensional relationship is used to combine images collected from the air and images collected from the street level.

A method of balancing colors of three-dimensional (3D) points measured by a scanner from a first location and a second location. The scanner measures 3D coordinates and colors of first object points from a first location and second object points from a second location. The scene is divided into local neighborhoods, each containing at least a first object point and a second object point. An adapted second color is determined for each second object point based at least in part on the colors of first object points in the local neighborhood.

A method of balancing colors of three-dimensional (3D) points measured by a scanner from a first location and a second location. The scanner measures 3D coordinates and colors of first object points from a first location and second object points from a second location. The scene is divided into local neighborhoods, each containing at least a first object point and a second object point. An adapted second color is determined for each second object point based at least in part on the colors of first object points in the local neighborhood.

An oblique imagery application receives an oblique image captured by an oblique camera at a non-orthogonal angle with respect to a ground plane and map data including a map tile corresponding to geographic coordinates. A principal axis is determined that is orthogonal to an image plane defined by the oblique image and intersecting a center of the oblique image. For each pixel of the oblique image, a pixel vector is determined and a set of deviation coordinates based on a deviation of the pixel vector from the principal axis is determined for the pixel, with the pixel vector of a pixel passing through a focal point of the oblique camera and ending at the pixel. The map tile is associated to the pixels of the oblique image based on the camera parameters, the deviation coordinates of the pixels, the oblique camera parameters, and the geographic coordinates of the map tile.

There is provided a surveying instrument including a distance measuring unit configured to measure a distance to an object to be measured, a measuring direction image pickup module which includes the object to be measured and is configured to acquire as observation image, an attitude detector is configured to detect a tilt of the surveying instrument main body and a arithmetic control module, and wherein the arithmetic control module is configured to extract each common corresponding point from a first image acquired at a first installing point and a second image acquired at a second installing point, perform the matching based on the corresponding point, and make a measurement of a positional relationship of the object to be measured with respect to the first installing point and the second installing point based on a matching image.

In accordance with an aspect of the present disclosure, there is provided a landmark position estimating method performed by a landmark position estimating apparatus. The method comprises, identifying a first type landmark and a second type landmark from an image, captured by an image capturing device of a vehicle, including various landmarks on a driving route, estimating a three-dimensional position of the identified first type landmark based on a plurality of the images on which the first type landmark is identified and a digital map including a driving area of the vehicle, and estimating a position of the identified second type landmark on a virtual plane including the three-dimensional position of the first type landmark.