hasNewKeyFrame
Description
Examples
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

reset(vslam)
Input Arguments
Stereo visual SLAM object, specified as a stereovslam object.
Output Arguments
New key frame status, returned as a logical 0
(false) or 1 (true). A value
of true indicates that a new key frame has been added within the
stereo visual SLAM object vslam. A value of false
indicates that no new key frame has been added. The object considers an image frame to
be a key frame if the number of tracked feature points in the current frame satisfies
one these conditions:
The number of tracked feature points is within the limits specified by the
TrackFeatureRangeproperty of thestereovslamobjectvslam.The number of tracked feature points is greater than the upper limit specified by the
TrackFeatureRangeproperty of thestereovslamobjectvslam, and the number of skipped frames since adding the last key frame equals the value of theSkipMaxFramesproperty ofvslam.
The hasNewKeyFrame object function returns
true only when the stereovslam object has added
one or more new key frames since the last hasNewKeyFrame call. For
example, if the stereovslam object adds only one key frame, then two
consecutive calls to hasNewKeyFrame return true
and false, respectively.
Version History
Introduced in R2025a
See Also
Objects
Functions
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