面向自动驾驶与 ADAS 的 AI 数据服务

Yes. We provide 3D bounding box annotation, point cloud segmentation, lane marking, and object tracking in LiDAR data. Our team uses industry-standard tools and follows automotive annotation guidelines for pedestrians, vehicles, cyclists, road signs, and infrastructure.

We annotate multi-sensor datasets combining LiDAR, camera, radar, and GPS data. Our workflow ensures cross-modal consistency — annotations are verified across sensor modalities to ensure 3D bounding boxes align with 2D camera views and radar returns.

Our annotation processes are designed to support ADAS and autonomous driving development following ISO 26262 (functional safety) and SOTIF (ISO 21448) principles. We maintain detailed annotation guidelines aligned with automotive industry taxonomies and edge case catalogs.