360-degree LiDAR perception paper evaluates custom dataset collected with Ouster OS0
Evidence notes
- The paper studies 360-degree LiDAR perception using sector-wise panoramic processing and rotation-equivariant sparse convolutions.
- The evaluation uses a custom Ouster OS0 LiDAR dataset collected across diverse Indian urban traffic conditions.
Company context
Ouster builds digital lidar sensors, cameras and AI-powered perception software for robotics, industrial automation, automotive and smart infrastructure.