trackingScenarioRecording

R2026b

Create trackingScenarioRecording object from truth data

Since R2025a

Syntax

tsRecording = trackingScenarioRecording(importer,source1)

tsRecording = trackingScenarioRecording(importer,source1,converterName1,...,sourceN,converterNameN)

[tsRecording,info] = trackingScenarioRecording(___)

Description

tsRecording = trackingScenarioRecording(importer,source1) returns a trackingScenarioRecording object based on the source input.

tsRecording = trackingScenarioRecording(importer,source1,converterName1,...,sourceN,converterNameN) imports multiple sources, each with its specified converter.

[tsRecording,info] = trackingScenarioRecording(___) also returns info, which contains the platform IDs and class IDs mapping tables.

Examples

Export Truth Data as trackingScenarioRecording Object

Load a saved truth TrackingTruthDataImporter object and display 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:

Contained Converters:
     Converter Link     Source Type     Required Columns         
     --------------     -----------     -------------------------     
     FlightLog1         spreadsheet     time, latitude, longitude

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 trackingScenarioRecording object.

trackingScenarioRecording(truthImporter,"LAToBostonFlightLog.xlsx")

[07-Aug-2026 01:30:30]: Start importing 'LAToBostonFlightLog.xlsx' with converter 'FlightLog1'.
[07-Aug-2026 01:30:31]: Finish importing 'LAToBostonFlightLog.xlsx' with converter 'FlightLog1'.

ans = 
  trackingScenarioRecording with properties:

    RecordedData: [592×1 struct]
     CurrentTime: 0
     CurrentStep: 0

Input Arguments

importer — Tracking truth data importer

TrackingTruthDataImporter object

Tracking truth data importer, specified as a TrackingTruthDataImporter object. You can use the Tracking Data Importer app to create these objects.

source1 — Data source to read

table | timetable | string scalar | character vector | string array | cell array

Data source to read, specified as one of the following:

• A string scalar or character vector representing the path to a data file.

• A MATLAB^® table or timetable from workspace.

• A string array or cell array of character vectors representing paths to multiple data files of the same format.

• A cell array of tables or timetables.

For details on the exact format requirements for the file or table, see the display of the importer object.

Example: "./flight_log.csv"

converterName1 — Name of converter for source

string scalar | character vector

Name of the converter to use for the preceding source, specified as a string scalar or character vector. The converter name must match one of the converters defined in the importer object.

Output Arguments

tsRecording — Tracking scenario recording

trackingScenarioRecording object

Tracking scenario recording, returned as a trackingScenarioRecording object. You can use the play function to play these recordings.

Tip

For optimal playback capability, export the data to a fixed North-East-Down (NED) frame.

info — Platform IDs and class IDs mapping information

structure

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 a dictionary object.

• ClassIDMapping — Mapping relationship between class IDs in the source and exported class IDs, returned as a dictionary object.

Version History

Introduced in R2025a

R2026b: Support for multiple source inputs

You can now specify multiple sources with different converters in a single call.