robot-lidar-fusion CORE
ROS 2 LiDAR–camera fusion: SE(3) extrinsic projection, pinhole intrinsics, z-buffer occlusion, KITTI calibration loader, diagnostics CLI. Shared perception IP for palletizing and inspection.
- Repository
robot-lidar-fusion (repository path not public)- Cluster
- physical-ai
- Status
- CORE
- Language
- Python
- Activity
- repository not public — no activity claim
- Architecture
- Python package with a projection pipeline, calibration loaders and a CLI; ROS 2 nodes wrap the pure functions.
- Dependencies
- Python · NumPy · ROS 2 (optional)
- Maturity
- alpha
- Business hypothesis
- One calibrated perception layer shared by every cell and every inspection robot lowers integration time and removes a vendor-specific dependency.
- Customer
- None. Internal consumer: palletizer perception, autonomous inspection.
- Technical role
- Shared IP: perception layer of the stack. Benchmark owner for precision, recall, latency, localisation error.
- Duplicate functionality
- palletizer/ros2_integration carries a LiDAR perception example that should consume this package rather than re-implement it.
- Strategic value
- high
- IP value
- high
- Revenue potential
- low
- Integration potential
- high
- Security risk
- low
- Regulatory implications
- None on its own; inherits the safety case of the cell that uses it.
- Recommended status
- CORE — CORE as shared IP, not as a product. The GitHub repository is not public although the PyPI package is — the register says so instead of linking a path that returns 404.