Caesar.jl
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Robust robotic localization and mapping, together with NavAbility(TM). Reach out to [email protected] for help.
https://github.com/GearsAD/GraffSDK.jl/issues/103
Hyperbolic-Inverted-Passive-Synthetic SLAM, Useful for low cost acoustic localization Related, time difference of arrival (but synthetic)
Should be easy to ramp up a complicated SLAM frontend with all the cool features like lag-window marginalization on the tree, and dead-reckon-tethers, etc.
Edited TAC - PackedVariable and PackedFactor generated or implemented from a schema to be more rigid and specific about interchange types. - Care must be taken on null types /...
Please add your comments or support for this requirement here.
pulled from docs: In the future, Caesar will likely interact more closely with repos such as: - [ ] [SensorFeatureTracking.jl](http://www.github.com/JuliaRobotics/SensorFeatureTracking.jl) - [x] [AprilTags.jl](http://www.github.com/JuliaRobotics/AprilTags.jl) - [ ] [RecursiveFiltering.jl](http://www.github.com/JuliaRobotics/RecursiveFiltering.jl)
See [verbNoun](https://juliarobotics.org/Caesar.jl/latest/dev/wiki/) definitions for `Data` vs `Smalldata`.
see https://github.com/JuliaRobotics/DistributedFactorGraphs.jl/issues/234#issuecomment-563998986
Send `getSolverParams(fg).logpath` with any stack trace and potential information that might be useful. Default logpath is `/tmp/caesar/`