MATLAB | Labeling Automation in Lidar Labeler App | Getting Started with Lidar Labeler App, Part 3 @MATLAB | Uploaded December 2023 | Updated October 2024, 1 week ago.
This is the third video of a four-part series. It will describe automation capabilities for large data sets, reducing human effort and accelerating the labeling process.

The app provides prebuilt automation algorithms for object detection, segmentation, classification, and tracking tasks. One notable algorithm is the lidar object tracking algorithm using the Unscented Kalman Filter (UKF). Users can select an object of interest and track it in subsequent frames.

The app also allows customization of prebuilt algorithms or development of user-specific automation algorithms using the provided API Template. Manual adjustments can be made to ensure precision and conformity with automated annotations.

Watch the full series: youtube.com/playlist?list=PLn8PRpmsu08ps52xnxCBbzy8Co-TXdzd4

Learn more about the Lidar Labeler app: bit.ly/3MGLlIk

--------------------------------------------------------------------------------------------------------
Get a free product trial: goo.gl/ZHFb5u
Learn more about MATLAB: goo.gl/8QV7ZZ
Learn more about Simulink: goo.gl/nqnbLe
See what's new in MATLAB and Simulink: goo.gl/pgGtod

© 2023 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc.
See mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be tra
demarks or registered trademarks of their respective holders.