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2016 | OriginalPaper | Buchkapitel

Landmark Rating and Selection for SLAM in Dynamic Environments

verfasst von : Siegfried Hochdorfer, Heiko Neumann, Christian Schlegel

Erschienen in: Intelligent Autonomous Systems 13

Verlag: Springer International Publishing

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Abstract

Goal-oriented acting in dynamic environments is a challenging task for a mobile robot. A fundamental problem to be solved is to map the environment during exploration. Since everyday, environments are typically not static, landmarks can occur and disappear at any time. Therefore, a SLAM approach must be able to cope with the characteristics of such environments. This work presents a multicriteria utility function to select landmarks for SLAM in dynamic environments. The landmark utility function takes into account the salience, the probability of reobservation, and the relevance for localization of a landmark. Taking into account these criteria, now enables the selection of landmarks for SLAM in dynamic environments. The performance of the approach is shown in a real-world experiment with a P3DX-platform in a living room environment.

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Metadaten
Titel
Landmark Rating and Selection for SLAM in Dynamic Environments
verfasst von
Siegfried Hochdorfer
Heiko Neumann
Christian Schlegel
Copyright-Jahr
2016
DOI
https://doi.org/10.1007/978-3-319-08338-4_30