Getting Started with Lidar Labeler App, Part 3: Labeling Automation in Lidar Labeler app

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.