Pre-processing of geo-spatial sensor data
First Claim
Patent Images
1. A computer-implemented method comprising:
- receiving data derived from a plurality of geo-spatial sensors that respectively generate information characterizing a plurality of sources within a zone of interest, the received data comprising a series of time-stamped frames for each of the plurality of geo-spatial sensors, at least one of the plurality of sources having two or more associated sensors of the plurality of geo-spatial sensors;
sorting and processing, for each of the plurality of geo-spatial sensors on a sensor-by-sensor basis, the received data using a sliding window, wherein the sorting and processing comprises filtering the series of time-stamped frames based on timestamps associated with each frame, the filtering of the series of time-stamped frames comprising;
recording, for each of the plurality of geo-spatial sensors, a system time and a time of a first recorded time-stamped frame,determining an expected timestamp for arriving frames, anddiscarding any arriving frames having a timestamp outside a pre-defined time window relative to the expected timestamp;
interpolating a missing timestamp based on a linear interpolation between a plurality of other timestamps;
correlating the sorted and processed data for each of the plurality of sources; and
writing the correlated data into a data storage application.
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Abstract
Data is received that is derived from a plurality of geo-spatial sensors that respectively generate data characterizing a plurality of sources within a zone of interest. The data includes series time-stamped frames for each of the sensors and at least one of the sources has two or more associated sensors. The received data can be sorted and processed, for each sensor on a sensor-by-sensor basis, using a sliding window. The sorted and processed data can then be correlated and written into a data storage application. Related apparatus, systems, techniques and articles are also described.
9 Citations
14 Claims
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1. A computer-implemented method comprising:
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receiving data derived from a plurality of geo-spatial sensors that respectively generate information characterizing a plurality of sources within a zone of interest, the received data comprising a series of time-stamped frames for each of the plurality of geo-spatial sensors, at least one of the plurality of sources having two or more associated sensors of the plurality of geo-spatial sensors; sorting and processing, for each of the plurality of geo-spatial sensors on a sensor-by-sensor basis, the received data using a sliding window, wherein the sorting and processing comprises filtering the series of time-stamped frames based on timestamps associated with each frame, the filtering of the series of time-stamped frames comprising; recording, for each of the plurality of geo-spatial sensors, a system time and a time of a first recorded time-stamped frame, determining an expected timestamp for arriving frames, and discarding any arriving frames having a timestamp outside a pre-defined time window relative to the expected timestamp; interpolating a missing timestamp based on a linear interpolation between a plurality of other timestamps; correlating the sorted and processed data for each of the plurality of sources; and writing the correlated data into a data storage application. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A non-transitory computer program product storing instructions which, when executed by at least one data processor forming part of at least one computing system, result in operations comprising:
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receiving data derived from a plurality of geo-spatial sensors that respectively generate information characterizing a plurality of sources within a zone of interest, the received data comprising a series of time-stamped frames for each of the plurality of geo-spatial sensors, at least one of the plurality of sources having two or more associated sensors of the plurality of geo-spatial sensors; sorting and processing, for each of the plurality of geo-spatial sensors on a sensor-by-sensor basis, the received data using a sliding window, wherein the sorting and processing comprises filtering the series of time-stamped frames based on timestamps associated with each frame, the filtering of the series of time-stamped frames comprising; recording, for each of the plurality of geo-spatial sensors, a system time and a time of a first recorded time-stamped frame, determining an expected timestamp for arriving frames, and discarding any arriving frames having a timestamp outside a pre-defined time window relative to the expected timestamp; interpolating a missing timestamp based on a linear interpolation between a plurality of other timestamps; correlating the sorted and processed data for each of the plurality of sources; and writing the correlated data into a data storage application. - View Dependent Claims (9, 10, 11, 12, 13)
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14. A system comprising:
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an in-memory database; at least one data processor; and memory storing instructions which, when executed by the at least one data processor, result in operations comprising; receiving data derived from a plurality of geo-spatial sensors that respectively generate information characterizing a plurality of sources within a zone of interest, the received data comprising a series of time-stamped frames for each of the plurality of geo-spatial sensors, at least one of the plurality of sources having two or more associated sensors of the plurality of geo-spatial sensors; sorting and processing, for each of the plurality of geo-spatial sensors on a sensor-by-sensor basis, the received data using a sliding window, wherein the sorting and processing comprises filtering the series of time-stamped frames based on timestamps associated with each frame, the filtering of the series of time-stamped frames comprising; recording, for each of the plurality of geo-spatial sensors, a system time and a time of a first recorded time-stamped frame, determining an expected timestamp for arriving frames, and discarding any arriving frames having a timestamp outside a pre-defined time window relative to the expected timestamp; interpolating a missing timestamp based on a linear interpolation between a plurality of other timestamps; correlating the sorted and processed data for each of the plurality of sources; and writing the correlated data into the in-memory database.
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Specification