Support nonlinear optimization step

ethz-asl / hand_eye_calibration

Python tools to perform time-synchronization and hand-eye calibration.

BSD 3-Clause "New" or "Revised" License

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Support nonlinear optimization step #35

Open HannesSommer opened 7 years ago

HannesSommer commented 7 years ago

This requires:

[ ] Output measurements CSVs with outliers replaced by empty lines / lines with timestamp only to feed to the NLOpt step
[x] Output the resulting extrinsic calibration (including temporal offset) as files (decide on format, should be readable by the user. Candidates: YAML directly or Boost property tree + XML / YAML / Info / Ini)
[ ] Somehow communicate the type of sensor (relative or absolute pose measurements)

NikolausDemmel commented 6 years ago

How would this be different from what is already implemented in batch_estimator? Just the transfer of outliers?

HannesSommer commented 6 years ago

It is about improving the communication of the python scripts with the batch_estimator. The empty check boxes above indicate what is still missing in particular.