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edgeResidualErrors

Compute pose graph edge residual errors

    Description

    example

    resErrorVec = edgeResidualErrors(poseGraphObj) returns the residual errors for each edge in the pose graph with the current pose node estimates. The residual errors order matches the order of edge IDs in poseGraph.

    Examples

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    Optimize a pose graph based on the nodes and edge constraints. Trim loop closed based on their edge residual errors.

    Load the data set that contains a 2-D pose graph. Inspect the poseGraph object to view the number of nodes and loop closures.

    load grid-2d-posegraph.mat pg
    disp(pg)
      poseGraph with properties:
    
                   NumNodes: 120
                   NumEdges: 193
        NumLoopClosureEdges: 74
         LoopClosureEdgeIDs: [1x74 double]
    

    Plot the pose graph with IDs off. Red lines indicate loop closures identified in the dataset. The poses in the graph should follow a grid pattern, but show evidence of drift over time.

    show(pg,'IDs','off');
    title('Original Pose Graph')

    Optimize the pose grap using the optimizePoseGraph function. By default, this function uses the "builtin-trust-region" solver. Because the pose graph contains some bad loop closures, the resulting pose graph is actual not desirable.

    pgOptim = optimizePoseGraph(pg);
    figure;
    show(pgOptim);

    Look at the edge residual errors for the original pose graph. Large outlier error values at the end indicate bad loop closures.

    resErrorVec = edgeResidualErrors(pg);
    plot(resErrorVec);
    title('Edge Residual Errors by Edge ID')

    Certain loop closures should be trimmed from the pose graph based on their residual error. Use the trimLoopClosures function to trim therse bad loop closures. Set the maximum and truncation threshold for the trimmer parameters. This threshold is set based on the measurement accuracy and should be tuned for your system.

    trimParams.MaxIterations = 100;
    trimParams.TruncationThreshold = 25;
    
    solverOptions = poseGraphSolverOptions; 

    Use the trimLoopClosures function with the trimmer parameters and solver options.

    [pgNew, trimInfo, debugInfo] = trimLoopClosures(pg,trimParams,solverOptions);

    From the trimInfo output, plot the loop closures removed from the optimized pose graph. By plotting with the residual errors plot before, you can see the large error loop closures were removed.

    removedLCs = trimInfo.LoopClosuresToRemove;
    
    hold on
    plot(removedLCs,zeros(length(removedLCs)),'or')
    title('Edge Residual Errors and Removed Loop Closures')
    legend('Residual Errors', 'Removed Loop Closures')
    xlabel('Edge IDs')
    ylabel('Edge Residual Error')
    hold off

    Show the new pose graph with the bad loop closures trimmed.

    show(pgNew,"IDs","off");

    Input Arguments

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    Pose graph, specified as a poseGraph or poseGraph3D object.

    Output Arguments

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    Edge residual errors for pose graph, specified as a vector of positive scalars.

    Extended Capabilities

    C/C++ Code Generation
    Generate C and C++ code using MATLAB® Coder™.

    Introduced in R2020b