LiDAR 3D Point Cloud Annotation for Autonomous Driving & ADAS
3D Sensor
CuboidConducted LiDAR point cloud annotation for large-scale 3D datasets in support of autonomous driving and ADAS applications. Responsibilities included object classification, cuboid annotation, and spatial labeling of vehicles, pedestrians, road structures, and environmental elements. Ensured high precision in depth perception and spatial alignment to enhance 3D object detection and sensor fusion models. Consistently maintained 95–97% accuracy across all deliverables while adhering to strict client SLAs and quality standards.
2025 - 2026