Towards lifelong feature-based mapping in semi-static environments

The feature-based graphical approach to robotic mapping provides a representationally rich and computationally efficient framework for an autonomous agent to learn a model of its environment. However, this formulation does not naturally support long-term autonomy because it lacks a notion of environ...

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Bibliographic Details
Main Authors: Rosen, David Matthew (Contributor), Mason, Julian (Contributor), Leonard, John J (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2017-03-21T15:16:27Z.
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