System and method for analyzing sensed data in 3D space
AssigneeExploration Robotics Technologies Inc.
InventorsOleg Mikhailov, Richard Clarke, Dmitri Kossakovski
Life of this patent
Estimating the term…
Abstract
A method for collocating sensed data of one or more three-dimensional objects, the method comprising: autonomously collocating, with a processor, a first data set resulting in a first collocated data set, which may correspond with one or more first three-dimensional working models of the one or more three-dimensional objects, respectively; and autonomously interpreting, by a processor, the first collocated data set, by comparison to one or more pre-fabricated three-dimensional models, to determine an identity of the one or more three-dimensional objects associated with the one or more first three-dimensional working models or to determine the state and/or operating conditions of three-dimensional objects.
Claims22
A method for analyzing sensed data of one or more three-dimensional objects, the method comprising the following steps:
- (a) effectuating relative movement during a first time period between a sensor apparatus comprising a plurality of sensors and the one or more three-dimensional objects and acquiring, using the plurality of sensors and for a plurality of relative positions between the sensor apparatus and the one or more three-dimensional objects, a first data set associated with a plurality of attributes of the one or more three-dimensional objects;
- (b) autonomously collocating, by at least one processor, the first data set to generate a first collocated data set that corresponds with one or more first three-dimensional working models of the one or more three-dimensional objects;
- (c) autonomously interpreting, by the at least one processor, the first collocated data set, to determine an identity of one or more three-dimensional subcomponents of the one or more three-dimensional objects associated with the one or more first three-dimensional working models, and identifying one or more properties of the one or more three-dimensional subcomponents for the first time period;
- (d) effectuating relative movement during a second time period between the sensor apparatus and the one or more three-dimensional objects and acquiring, using the plurality of sensors and for a plurality of relative positions between the sensor apparatus and the one or more three-dimensional objects, a second data set associated with the plurality of attributes of the one or more three-dimensional objects;
- (e) autonomously collocating, by the at least one processor, the second data set to generate a second collocated data set that corresponds with one or more second three-dimensional working models of the one or more three-dimensional objects;
- (f) autonomously interpreting, by the at least one processor, the second collocated data set, to determine an identity of the one or more three-dimensional subcomponents of the one or more three-dimensional objects associated with the one or more second three-dimensional working models, and identifying one or more properties of the one or more three-dimensional subcomponents for the second time period;
- (g) autonomously comparing, by the at least one processor, the first collocated data set and the second collocated data set, respectively associated with a matching identity of the one or more three-dimensional subcomponents to determine an existence of similarities and/or differences between the first collocated data set and the second collocated data set and thereby determine an existence of similarities and/or differences in the plurality of attributes between the first time period and the second time period;
- and
- (h) alerting a user to differences in the one or more properties of the one or more three-dimensional subcomponents that occurred between the first time period and the second time period.
Dependencies are inferred from the claim text.