convertedTable
Description
Examples
Loads a saved truth TrackingTruthDataImporter
object and displays the object properties. For more information on the creation of the TrackingTruthDataImporter
object, see the Import Data Using Tracking Data Importer App example.
load truthImporterFile.mat;
truthImporter
truthImporter = TrackingTruthDataImporter with configurations: Converter Name: FlightLog1 Input File Format: spreadsheet Input Data Information: Category: Flight Log Frame Type: Local NED Elements and Mapping: State Element Unit Original Column Unit(Format) ------------- ------ --------------- ------------------------------------- Date Time sec time datetime string(dd-MMM-yyyy HH:mm:ss) Latitude degree latitude degree Longitude degree longitude degree Altitude m altitude ft Speed m/s speed mi/h Course degree course degree Climb Rate m/s climbrate ft/m Output Data Information: Coordinate Type: Cartesian Frame Type: ECEF Usage: trackingScenarioRecording: Export as a trackingScenarioRecording object for playing and metric evaluation truthlog: Export as a truth log structure for metric evaluation tuningData: Export as a tuning data structure for tracking filter turning convertedTable: Export converted table
Apply the truthImporter
object to a flight log named LAToBostonFlightLog.xlsx
, to get a convertedTable
.
convertedTable(truthImporter,"LAToBostonFlightLog.xlsx")
ans=592×7 table
Date Time Latitude(degree) Longitude(degree) Altitude(m) Speed(m/s) Course(degree) Climb Rate(m/s)
___________________ ________________ _________________ ___________ __________ ______________ _______________
2024-10-01 00:00:00 33.947 -118.43 67.455 83.15 -99.005 5.1484
2024-10-01 00:00:16 33.945 -118.45 134.76 89.408 -97.281 2.9937
2024-10-01 00:00:32 33.944 -118.46 171.94 105.5 -95.453 2.8752
2024-10-01 00:00:48 33.942 -118.48 232.27 116.68 -92.076 3.9885
2024-10-01 00:01:05 33.941 -118.51 304.33 127.41 -99.498 4.2966
2024-10-01 00:01:21 33.935 -118.53 374 131.88 -123.79 5.0531
2024-10-01 00:01:39 33.917 -118.54 483.17 136.35 -162.69 5.2546
2024-10-01 00:01:56 33.897 -118.55 562.15 141.26 177.73 4.9735
2024-10-01 00:02:23 33.862 -118.54 708.45 146.63 171.51 5.6726
2024-10-01 00:02:53 33.82 -118.53 887.31 147.52 173.27 4.9681
2024-10-01 00:03:23 33.782 -118.53 1015.1 152.89 175.96 2.3517
2024-10-01 00:03:53 33.738 -118.52 1063.8 174.35 170.01 2.3006
2024-10-01 00:04:09 33.711 -118.51 1119.5 189.1 151.5 3.6634
2024-10-01 00:04:27 33.689 -118.49 1189.2 200.72 126.51 4.2575
2024-10-01 00:04:48 33.672 -118.45 1289.1 207.87 110.37 4.1762
2024-10-01 00:05:23 33.653 -118.37 1416.8 215.47 101.94 3.7983
⋮
Input Arguments
Tracking truth data importer, specified as a TrackingTruthDataImporter
object. You can use the Tracking Data Importer app to create these objects.
Data source to read, specified as a string scalar representing the path to a data file, or as a MATLAB table or timetable from workspace.
For details on the exact format requirements for the file or table, see the display of
the importer
object.
Example: "./flight_log.csv"
Output Arguments
Converted table, returned as a table.
Platform IDs and class IDs mapping information, returned as a structure that contains two fields:
PlatformIDMapping
— Mapping relationship between platform IDs in the source and exported platform IDs, returned as adictionary
object.ClassIDMapping
— Mapping relationship between class IDs in the source and exported class IDs, returned as adictionary
object.
Version History
Introduced in R2025a
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