Lockheed Martin Corporation

Leo Salemann

James H Crutchfield, Jr

Eduard Rotenberg

A method, apparatus and computer readable medium for visualizing an event from unstructured data is described, including generating a plurality of structured data units from a plurality of unstructured data, each structured data unit having a time value, an identity value, a location value and a behavior value; and generating a data structure comprising a sequence of the structured data units.

Event visualization based on unstructured data

A system and method receive an object representative of a new element of a scene to be simulated. A probabilistic prediction of coordinates of the new element in the scene is provided. The new element is placed in the scene as a function of rules for combining probabilistic nature objects in the scene. A visual representation of the simulated scene including the new element is also provided for display.

Visual three dimensional simulation system and method

A hybrid database can receive a hybrid query for an object having a real world analog. A feature of a set of feature records can be determined that corresponds to the object. Feature-level attribute values of the feature can be extracted from the feature records. A set of uniquely indexed voxels can be determined. Each voxel can be a volumetric unit of the volumetric storage space that represents the volume of real-world geography. Voxel-level semantic values can be extracted from the set of uniquely indexed voxels from voxel records. Extracted voxel-level semantic values and extracted feature-level attribute values can be combined to generate a hybrid result. The hybrid result can be conveyed to a requestor from which the hybrid query was received.

Query system for a hybrid voxel and feature database

At least one computing device can store and combine data for a geographic region in a voxel database from a plurality of different source products. The voxel database can be a volumetric storage space of different volumetric storage units referred to as voxels. The voxel database can receive requests from different applications. For each of the requests, one of a set of filters can be determined. For each of the requests, the determined one of the filters can be applied to conditionally exclude data of the voxel database. For each of the requests, voxel database data resulting from applying the determined filter can be provided to one of the applications from which the corresponding one of the requests was issued.

Supporting multiple different applications having different data needs using a voxel database

Geospatial information specific to a real-world volumetric space can be gathered. The gathered information can be stored in a voxel database. The stored information can be indexed against voxels, which correspond to volume units of the real-world volumetric space. Stored information can be extracted from the voxel database. The extracted information can be directly inserted into an interactive three dimensional (3D) application providing a simulation space. The 3D application can interactively presents 3D entities programmed with entity specific intelligence within the simulation space. Each 3D entity can dynamically move and react in the simulation space in a geospatially constrained manner in accordance with the entity specific intelligence and in accordance with limitations of the simulation space.

Voxel based three dimensional virtual environments

A voxel database can store and manage a set of voxel records in a voxel table. Each of the records can have a unique voxel identifier. Each voxel record can include a set of different sensory attributes. The sensory attributes can include visual attributes, spectral signature attributes, olfaction attributes, audition attributes, gustation attributes, somatsensory attributes, and material composition attributes. Uniquely defined voxels of voxel database can be a volume unit on a grid (regular or non-regular) in three dimensional space, which is a voxel space. A correspondence can exist between voxels in the voxel space and volume units of a real world volumetric space from which geospatial data was directly gathered and encoded within the voxel database. Voxel space can be mapped to simulation space. Thus, simulators can consume data of the voxel space to generate three dimensional immersive environments having multisensory output.

Spatially referenced multi-sensory data digitally encoded in a voxel database

A set of sensors can capture raw data that geospatially corresponds to a real world volumetric space. The raw data can include point cloud data encoded in a light detecting and ranging (LiDAR) information format, imagery and video data, and elevation data encoded in a digital elevation model (DEM) or digital surface model (DSM) format. The real-world volumetric space can be segmented into a set of volumetric units, wherein datum of the raw data is indexed against the volumetric units. Each of the volumetric units of the real-world volumetric space can be mapped to a voxel in a storage volumetric space of a voxel database. The raw data can then be stored and fused in the voxel database such that each voxel in the voxel database represents a combination of volumetrically stored data for all source products that includes providing point cloud data, imagery data, and elevation data.

Voxel approach to terrain repositories for modeling and simulation

A probabilistic database can including a set of geospatially referenced records and a probability engine. The geospatially referenced records corresponding to a real-world volumetric space indexed against voxels. Each voxel can have a unique identifier in the probabilistic database. Each voxel can corresponds to a volumetric unit of the real-world volumetric space. Geospatial information referenced against voxels can be internally inconsistent, which results in a naturally probabilistic storage format. The probability engine can be operable to dynamically determine a certainty value for an object of the probabilistic database. The certainty value can be a value from zero to one hundred percent, which is based upon a statistical analysis of the internally inconsistent geospatial information referenced against the voxels. The internally inconsistent geospatial information can correspond to a volumetric unit of the real-world volumetric space in which the object has a probability of residing within.

Probabilistic voxel-based database

A system can include a voxel database and the set of applications. The voxel database can include a set of voxel indexed records, wherein the voxel database manages a volumetric storage space corresponding to a real-world volumetric space, where units of real-world volumetric space and data specific to these units map to voxels and attributes of voxel indexed records. Each of the applications can include a user interface that renders a volumetric simulation space that corresponds to the volumetric storage space. Geospatial data for the simulation space can include visual attributes used to render a graphical user interface representation of the simulation space, where these visual attributes are acquired from the voxel database. The applications can have different geospatial formatting and content needs from each other, yet the content needs of each of the applications can be supported by the voxel database.

A hybrid database can receive a hybrid query for an object having a real world analog. A feature of a set of feature records can be determined that corresponds to the object. Feature-level attribute values of the feature can be extracted from the feature records. A volumetric envelope forming an outer boundary of the feature in a volumetric storage space of the hybrid database can be determined. A set of uniquely indexed voxels can be determined. Each voxel can be a volumetric unit of the volumetric storage space that represent the volume contained by the volumetric envelope. Voxel-level semantic values can be extracted from the set of uniquely indexed voxels from voxel records. Extracted voxel-level semantic values and extracted feature-level attribute values can be combined to generate a hybrid result. The hybrid result can be conveyed to a requestor from which the hybrid query was received.

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Sammamish, WA, United States of America

Leo Salemann