QC Tecnical
Data Collection: Gather extensive datasets from various sensors, including cameras, LiDAR, radar, and ultrasonic sensors. These datasets should cover diverse driving conditions, scenarios, and edge cases to ensure robustness and adaptability. Data Annotation: Label the collected data to provide context and meaning. This includes: Image Annotation: Using bounding boxes, polygons, and semantic masks to identify and classify objects like vehicles, pedestrians, and traffic signs. LiDAR Annotation: Annotating 3D point cloud data to distinguish objects and their relative distances