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- W2016130419 abstract "This paper presents an algorithm for the global localization of mobile robots. The general idea is to build a local map incrementally which is matched to a global map in each localization step. The matching algorithm is a very time and memory efficient enhancement of the common Random Sample Consensus (RANSAC). It is executed a fixed number of iterations computing a set of hypotheses of the current robot pose. This paper describes how to handle the resulting hypotheses, i.e. a method is introduced deciding when the robot is localized reliably enough. The algorithm has been implemented and its characteristics are evaluated and discussed in an experimental section." @default.
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- W2016130419 date "2010-05-01" @default.
- W2016130419 modified "2023-09-23" @default.
- W2016130419 title "Localization of mobile robots using incremental local maps" @default.
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- W2016130419 doi "https://doi.org/10.1109/robot.2010.5509230" @default.
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