[dllu]

I'm the author of this blog post.

You are right that the SLAM dead reckoning trajectory will drift.

We are developing a mapping back-end where we register trajectories to consumer-grade GPS data, performing loop closure, and then doing a batch ICP-like optimization over multiple drives. This mostly eliminates drift as GPS, noisy as it may be, is mostly zero-mean over large areas.

Moving objects are mostly removed or ignored.

We are primarily interested in mapping urban environments for now. The SLAM does not work very well in a featureless corn field.

[dwiel]

Are you planning on integrating these SLAM features into an API available from the device somehow? The spec sheet only mentions point cloud outputs right now.

[dllu]

The lidar device is not capable of running SLAM yet. We run SLAM on a computer with an Intel Core i7 processor and currently have not open sourced the algorithm.