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navlie: A Python Package for State Estimation on Lie Groups

  • arXiv (Cornell University)
  • Cornell University
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The ability to rapidly test a variety of algorithms for an arbitrary state estimation task is valuable in the prototyping phase of navigation systems. Lie group theory is now mainstream in the robotics community, and hence estimation prototyping tools should allow state definitions that belong to manifolds. A new package, called navlie, provides a framework that allows a user to model a large class of problems by implementing a set of classes complying with a generic interface. Once accomplished, navlie provides a variety of on-manifold estimation algorithms that can run directly on these classes. The package also provides a built-in library of common models, as well as many useful utilities. The open-source project can be found at https://github.com/decargroup/navlie.

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Publication details

DOI
10.48550/arxiv.2310.15774
OpenAlex
W4387946787
Document type
preprint
Language
EN
Source
arXiv (Cornell University)
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