The Graph SLAM Algorithm With Applications To Large-Scale Mapping Of Urban Structures  

Oleh:

[s.n]

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: The International Journal of Robotics Research vol. 25 no. 5-6 (May 2006), page 403-431.
Topik: SLAM; robot navigation; localization; mapping
Fulltext: 403.pdf (540.91KB)

Isi artikel

This article presents GraphSLAM, a unifying algorithm for the offline SLAM problem. GraphSLAM is closely related to a recent sequence of research papers on applying optimization techniques to SLAM problems. It transforms the SLAM posterior into a graphical network, representing the log-likelihood of the data. It then reduces this graph using variable elimination techniques, arriving at a lowerdimensional problems that is then solved using conventional optimization techniques. As a result, GraphSLAM can generate maps with 108 or more features. The paper discusses a greedy algorithm for data association, and presents results for SLAM in urban environments with occasional GPS measurements.

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