Point-cloud recombination paper validates perception with Ouster OS1-128

Evidence notes
- The paper proposes point-cloud recombination for systematic real-data augmentation using robotic targets in LiDAR perception validation.
- The authors use an Ouster OS1-128 Rev7 sensor to augment real-world urban and rural scenes with registered humanoid-target meshes.
Company context
Ouster builds digital lidar sensors, cameras and AI-powered perception software for robotics, industrial automation, automotive and smart infrastructure.