Raytheon Company

Daniel W Otts

Winthrop W Smith

Benjamin M Howe

In particular embodiments, analyzing data includes receiving sensor data generated in response to sensing one or more structures. The structural features of the sensor data are identified. Each structural feature is represented by one or more vectors. A score matrix describing relationships among the vectors is generated. Candidate corridors are identified from at least some of the vectors according to the score matrix. One or more candidate corridors are designated as designated corridors. Each designated corridor comprises an opening defined by at least two structural features. A layout of the structures is generated from the structural features and the designated corridors.

Designating corridors to provide estimates of structures

In particular embodiments, fusing multi-sensor data sets includes receiving a first sensor data set and a second sensor data set generated in response to sensing a structure. The sensor data sets describe structural features of the structure. First delta vector sets are generated for the first sensor data set, and second delta vector sets are generated for the second sensor data set. Each delta vector set comprises delta vectors indicating relative geometrical relationships between a structural feature and other structural features. Association scores are determined for delta pairs comprising a first delta vector set and a second delta vector set. Same feature delta pairs are identified according to the association scores. A same feature delta vector set comprises a delta pair corresponding to the same structural feature.

Fusing multi-sensor data sets according to relative geometrical relationships

In particular embodiments, fusing structures includes receiving sensor data sets generated by sensors in response to sensing a structure system. Each sensor data set describes structures of the structure system. Structure pairs are generated, where a structure pair comprises a first structure from a first sensor data set and a second structure from a second sensor data set. A relational vector set is defined for each structure pair, and a relational vector score is calculated for each structure pair according to the relational vector set of the structure pair. An association score is calculated for each structure pair according to the relational vector score of the structure pair. The association score of the structure pair indicates a likelihood that the structure pair is fusable.

Fusing structures from multi-sensor data

In particular embodiments, analyzing data includes receiving sensor data generated in response to sensing one or more structures. The structural features of the sensor data are identified. Each structural feature is represented by one or more vectors. A score matrix that describes a plurality of distances among the vectors is generated. Vector pairs are formed from at least some of the vectors according to the distances of the score matrix. A layout of the structures is generated from the vector pairs.

Fusing multi-sensor data to provide estimates of structures

According to one embodiment, a method comprises receiving sensor data generated by one or more sensors in response to sensing a structure. The sensor data is filtered to identify edge data and reverberation data each describing the same structural feature of the structure. Image data for a filtered image of the structure is generated from the edge data, but not from the reverberation data.

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Allen, TX, United States of America

Daniel W Otts