Equip autonomous vehicles with clearer and more sensitive vision.

Challenge: Obtaining high-quality point cloud training data demands mature and comprehensive tool support, making product development both challenging and costly. Rapidly establishing and managing a professional point cloud annotation team becomes challenging when there is a sudden surge in demand for training data.

Solution: The Stardust platform offers continuous frame annotation for point clouds, 3D to 2D mapping, and semantic segmentation. It supports various functions, including data collection, synchronized uploads, data cleansing, and format conversion. Additionally, it provides API support and automation capabilities, accommodating over 500 simultaneous users. With an accuracy rate exceeding 99.5%, it can save customers more than 50% on costs. Moreover, it ensures efficiency, even for substantial datasets, which can be completed within 1-2 months.

Advanced full-stack unmanned distribution solutions and the standardized operation of autonomous vehicles ensure customers receive stable and secure urban distribution services.