Main Content

reset

Reset stereo visual SLAM object

Since R2024a

    Description

    reset(vslam) resets all internal processes and clears all data in the stereovslam object.

    example

    Examples

    collapse all

    Perform stereo visual simultaneous localization and mapping (vSLAM) using the data from the UTIAS Long-Term Localization and Mapping Dataset provided by University of Toronto Institute for Aerospace Studies. You can download the data to a directory using a web browser, or by running this code:

    ftpObj = ftp("asrl3.utias.utoronto.ca");
    tempFolder = fullfile(tempdir);
    dataFolder = [tempFolder,'2020-vtr-dataset\UTIAS-In-The-Dark\'];
    zipFileName = [dataFolder,'run_000005.zip'];
    folderExists = exist(dataFolder,"dir");

    Create a folder in a temporary directory to save the downloaded file and extract its contents.

    if ~folderExists  
        mkdir(dataFolder) 
        disp("Downloading run_000005.zip (818 MB). This download can take a few minutes.") 
        mget(ftpObj,"/2020-vtr-dataset/UTIAS-In-The-Dark/run_000005.zip",tempFolder);
    
        disp("Extracting run_000005.zip (818 MB) ...") 
        unzip(zipFileName,dataFolder); 
    end

    Create two imageDatastore objects to store the stereo images.

    imgFolderLeft = [dataFolder,'\images\left\'];
    imgFolderRight = [dataFolder,'\images\right\'];
    imdsLeft = imageDatastore(imgFolderLeft);
    imdsRight = imageDatastore(imgFolderRight);

    Specify the intrinsic parameters and the baseline of the stereo camera, and use them to create a stereo visual SLAM object. The focal length, principal point, and image size is in pixels, and the baseline is in meters.

    focalLength = [387.777 387.777];  
    principalPoint = [257.446 197.718];  
    imageSize = [384 512];            
    intrinsics = cameraIntrinsics(focalLength,principalPoint,imageSize);
    baseline = 0.239965; 
    
    vslam = stereovslam(intrinsics,baseline,MaxNumPoints=600, ...
        TrackFeatureRange=[30 120],SkipMaxFrames=5);

    Process each pair of stereo images and visualize the camera poses and 3-D map points.

    for i = 1:numel(imdsLeft.Files)
        leftImage = readimage(imdsLeft,i);
        rightImage = readimage(imdsRight,i);
        addFrame(vslam,leftImage,rightImage);
    
        if hasNewKeyFrame(vslam)
            % Query 3-D map points and camera poses
            xyzPoints = mapPoints(vslam);
            [camPoses,viewIds] = poses(vslam);
    
            % Display 3-D map points and camera trajectory
            plot(vslam);
        end
    
        % Get current status of system
        status = checkStatus(vslam);
        
        % Stop adding frames when tracking is lost
        if status == uint8(0)
            break
        end
    end 

    Once all the frames have been processed, reset the system.

    while ~isDone(vslam)
        plot(vslam)
    end

    Figure contains an axes object. The axes object with xlabel X, ylabel Y contains 12 objects of type line, text, patch, scatter. This object represents Camera trajectory.

    reset(vslam)

    Input Arguments

    collapse all

    Stereo visual SLAM object, specified as a stereovslam object.

    Version History

    Introduced in R2024a