3D LiDAR Annotation for Autonomous Vehicles
Worked on a large-scale autonomous vehicle perception project focused on labeling LiDAR point cloud data and images to improve AI-driven navigation. Tasks included: Annotating 3D objects (cars, pedestrians, traffic signs) in point cloud data using cuboids and segmentation. Labeling image datasets with bounding boxes and object classification for AI training. Tracking objects across multiple frames for enhanced real-time decision-making models. Performing quality control checks to maintain 99%+ annotation accuracy. This project played a crucial role in enhancing AI models for self-driving technology by ensuring accurate object detection and classification.