Case Study: X Autonomous Vehicle Company improves autonomous driving perception with Stardust.ai 2D-3D Fusion Annotation

X Autonomous Vehicle Company saves 50% on annotation costs with Stardust.ai

The customer, X Autonomous Vehicle Company, faced the challenge of obtaining high-quality training data for its autonomous vehicle tracking and obstacle avoidance systems. Developing the necessary tools and managing a professional annotation team for multi-sensor fusion data was both costly and difficult, especially with sudden surges in demand. To address this, they partnered with Stardust.ai.

Stardust.ai provided its platform, which offers continuous frame annotation for point clouds, 3D to 2D mapping, and semantic segmentation. The solution included API support and automation, accommodating over 500 users simultaneously. This resulted in an accuracy rate exceeding 99.5% and cost savings of more than 50% for the customer, with large datasets being completed efficiently within one to two months.

X Autonomous Vehicle Company