A method and system for modeling and processing vehicular traffic data and information, comprising: (a) transforming a spatial representation of a road network into a network of spatially interdependent and interrelated oriented road sections, for forming an oriented road section network; (b) acquiring a variety of the vehicular traffic data and information associated with the oriented road section network, from a variety of sources; (c) prioritizing, filtering, and controlling, the vehicular traffic data and information acquired from each of the variety of sources; (d) calculating a mean normalized travel time (NTT) value for each oriented road section of said oriented road section network using the prioritized, filtered, and controlled, vehicular traffic data and information associated with each source, for forming a partial current vehicular traffic situation picture associated with each source; (e) fusing the partial current traffic situation picture associated with each source, for generating a single complete current vehicular traffic situation picture associated with entire oriented road section network; (f) predicting a future complete vehicular traffic situation picture associated with the entire oriented road section network; and (g) using the current vehicular traffic situation picture and the future vehicular traffic situation picture for providing a variety of vehicular traffic related service applications to end users.

Method and system for modeling and processing vehicular traffic data and information and applying thereof

Methods and systems for roof estimation are described. Example embodiments include a roof estimation system, which generates and provides roof estimate reports annotated with indications of the size, geometry, pitch and/or orientation of the roof sections of a building. Generating a roof estimate report may be based on one or more aerial images of a building. In some embodiments, generating a roof estimate report of a specified building roof may include generating a three-dimensional model of the roof, and generating a report that includes one or more views of the three-dimensional model, the views annotated with indications of the dimensions, area, and/or slope of sections of the roof. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.

Aerial roof estimation systems and methods

User interface systems and methods for roof estimation are described. Example embodiments include a roof estimation system that provides a user interface configured to facilitate roof model generation based on one or more aerial images of a building roof. In one embodiment, roof model generation includes image registration, image lean correction, roof section pitch determination, wire frame model construction, and/or roof model review. The described user interface provides user interface controls that may be manipulated by an operator to perform at least some of the functions of roof model generation. The user interface is further configured to concurrently display roof features onto multiple images of a roof. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.

Concurrent display systems and methods for aerial roof estimation

User interface systems and methods for roof estimation are described. Example embodiments include a roof estimation system that provides a user interface configured to facilitate roof model generation based on one or more aerial images of a building roof. In one embodiment, roof model generation includes image registration, image lean correction, roof section pitch determination, wire frame model construction, and/or roof model review. The described user interface provides user interface controls that may be manipulated by an operator to perform at least some of the functions of roof model generation. In one embodiment, the user interface provides user interface controls that facilitate the determination of pitch of one or more sections of a building roof. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.

Pitch determination systems and methods for aerial roof estimation

A system and method for drawing in a three-dimensional space. The drawings may include dots, line segments, arrows, polylines (open and closed), polygons, surfaces and 3D volumes. The method may include receiving user input that specifies a drawing in a displayed window and mapping the drawing into the 3D space. The mapping process may involve mapping the drawing onto a surface of an existing graphical object in the 3D space, or, mapping the drawing onto a user-specified plane in the 3D space. The drawing may represent a user's interpretation of a geological feature present on the graphical object surface. The graphical object may represent an object of significance in hydrocarbon exploration and production, e.g., an interpreted section or horizon in the earth's subsurface.

Drawing graphical objects in a 3d subsurface environment

A geospatial modeling system (20) may include a geospatial model database (21) and a processor (22). The processor (22) may cooperate with the geospatial model database (21) for inpainting data into at least one void (41a) in geospatial model terrain data (42a) based upon propagating contour data from outside the at least one void into the at least one void.

Geospatial modeling system providing non-linear inpainting for voids in geospatial model cultural feature data and related methods

A geospatial modeling system (20) may include a geospatial model database (21) and a processor (22). The processor (22) may cooperate with the geospatial database (21) for identifying a building roof type defined by building roof data points (50) as being from among a plurality of possible building roof types. This may be done based upon applying multi-directional gradient calculations to the building roof data points.

Geospatial modeling system providing building roof type identification features and related methods

A geospatial modeling system (20) may include a geospatial data storage device (21), and a processor (22) cooperating with the geospatial data storage device for selectively inpainting data into at least one void in geospatial model data using a partial differential equation (PDE) algorithm and an exemplar algorithm.

Exemplar/pde-based technique to fill null regions and corresponding accuracy assessment

A method ( 100 ) comprises steps of: receiving a first digital model ( 102 ) of a first three-dimensional scene comprising at least one object; receiving a second digital model ( 112 ) of a second three-dimensional scene comprising at least one object; and performing a change analysis ( 102 ) on the first and second digital models to provide a difference indication representing a difference between the first and second models. In one embodiment a mean square error operation ( 110 ) is performed on the first and second digital models to provide a value indicating the difference between the digital models. In another embodiment, a conflation operation is performed on the difference model provided by the change analysis ( 120 ) and an object level change database ( 124 ) is produced.

System and method for three dimensional change detection and measurement of a scene using change analysis

A geospatial modeling system (30') may include a geospatial model data storage device (31'), a user input device (34'), and a display (33'). A processor (32') may be included for cooperating with the geospatial model data storage device (31'), the user input device (34') and the display (33') for displaying a geospatial model data set on the display including at least one group of building data points, and displaying a plurality of user-selectable different building shapes on the display based upon the at least one group of building data points. The plurality of user-selectable different building shapes (100a-100d) may have different respective feature detail levels. The processor (32') may further replace the at least one group of building data points with a given one of the user-selectable different building shapes (100a-100d) based upon user selection thereof with the user input device (34').

Harlan Yates

Papers

Geospatial modeling system providing non-linear inpainting for voids in geospatial model cultural feature data and related methods

Geospatial modeling system providing building roof type identification features and related methods

Exemplar/pde-based technique to fill null regions and corresponding accuracy assessment

System and method for three dimensional change detection and measurement of a scene using change analysis

Geospatial modeling system providing user-selectable building shape options and related methods