An approach is provided for digital elevation modeling from pose points. The approach, for example, involves retrieving a digital elevation model (DEM) representing a geographic area. The approach also involves retrieving pose point data associated with the geographic area. The pose point data, for instance, are collected using at least one sensor of at least one probe device traveling in the geographic area. The approach further involves editing the DEM based on the pose point data and providing the edited DEM as an output.

An approach is provided for digital elevation modeling from pose points. The approach, for example, involves retrieving a digital elevation model (DEM) representing a geographic area. The approach also involves retrieving pose point data associated with the geographic area. The pose point data, for instance, are collected using at least one sensor of at least one probe device traveling in the geographic area. The approach further involves editing the DEM based on the pose point data and providing the edited DEM as an output.

Systems, methods, and computer-readable media for using full waveform inversion for imaging surveyed mediums are provided. The full waveform inversion uses a Sifrian functional to fully leverage Hessian information and update a model by augmenting and assembling data derived from the Sifrian functional when equilibrated. The Sifrian inversion produces high resolution images of the surveyed medium typically only seen with full Hessian inversions and can produce such images without requiring supercomputer computation power or extremely long computation time.

Systems, methods, and computer-readable media for using full waveform inversion for imaging surveyed mediums are provided. The full waveform inversion uses a Sifrian functional to fully leverage Hessian information and update a model by augmenting and assembling data derived from the Sifrian functional when equilibrated. The Sifrian inversion produces high resolution images of the surveyed medium typically only seen with full Hessian inversions and can produce such images without requiring supercomputer computation power or extremely long computation time.

Systems and methods are described for creating three dimensional models of building objects by creating a point cloud from a plurality of input images, defining edges of the building object's surfaces represented by the point cloud, creating simplified geometries of the building object's surfaces and constructing a building model based on the simplified geometries. Input images may include ground, orthographic, or oblique images. The resultant model may be scaled according to correlation with select image types and textured.

Systems and methods are described for creating three dimensional models of building objects by creating a point cloud from a plurality of input images, defining edges of the building object's surfaces represented by the point cloud, creating simplified geometries of the building object's surfaces and constructing a building model based on the simplified geometries. Input images may include ground, orthographic, or oblique images. The resultant model may be scaled according to correlation with select image types and textured.

Systems and methods are described for creating three dimensional models of building objects by creating a point cloud from a plurality of input images, defining edges of the building object's surfaces represented by the point cloud, creating simplified geometries of the building object's surfaces and constructing a building model based on the simplified geometries. Input images may include ground, orthographic, or oblique images. The resultant model may be scaled according to correlation with select image types and textured.

Systems and methods are described for creating three dimensional models of building objects by creating a point cloud from a plurality of input images, defining edges of the building object's surfaces represented by the point cloud, creating simplified geometries of the building object's surfaces and constructing a building model based on the simplified geometries. Input images may include ground, orthographic, or oblique images. The resultant model may be scaled according to correlation with select image types and textured.

An automated yard audit system is provided. The automated yard audit system includes one or more light detection and ranging (LIDAR) sensors, which are each configured to scan at least a portion of a fulfillment yard, and a controller. The controller is configured to receive scanning data of the yard from each of the LIDAR sensors and generate a virtual representation of the fulfillment yard based on the scanning data. The controller is also configured to identify one or more objects in the fulfillment yard, track movement of the one or more objects in the fulfillment yard, perform an audit of the fulfillment yard, and determine capacity information of the fulfillment yard, based on the virtual representation.

An automated yard audit system is provided. The automated yard audit system includes one or more light detection and ranging (LIDAR) sensors, which are each configured to scan at least a portion of a fulfillment yard, and a controller. The controller is configured to receive scanning data of the yard from each of the LIDAR sensors and generate a virtual representation of the fulfillment yard based on the scanning data. The controller is also configured to identify one or more objects in the fulfillment yard, track movement of the one or more objects in the fulfillment yard, perform an audit of the fulfillment yard, and determine capacity information of the fulfillment yard, based on the virtual representation.