Data Annotator
Video
CuboidAnnotated 3D LiDAR point clouds using 3D cuboids to precisely identify vehicles, pedestrians, and cyclists for autonomous driving perception models. Adjusted yaw, pitch, and roll parameters of 3D bounding boxes to ensure exact vehicle heading alignment and tracking accuracy. Executed point-cloud semantic segmentation by classifying millions of individual points into categories like drivable road, sidewalks, and stationary barriers. Performed 3D object tracking across sequential frames to maintain consistent object IDs and support vehicle motion-prediction algorithms.
2021 - 2023