Simultaneous Localization and Mapping 2002 Summer School
نویسنده
چکیده
منابع مشابه
Map-merging in Multi-robot Simultaneous Localization and Mapping Process Using Two Heterogeneous Ground Robots
In this article, a fast and reliable map-merging algorithm is proposed to produce a global two dimensional map of an indoor environment in a multi-robot simultaneous localization and mapping (SLAM) process. In SLAM process, to find its way in this environment, a robot should be able to determine its position relative to a map formed from its observations. To solve this complex problem, simultan...
متن کاملEffects of Moving Landmark’s Speed on Multi-Robot Simultaneous Localization and Mapping in Dynamic Environments
Even when simultaneous localization and mapping (SLAM) solutions have been broadly developed, the vast majority of them relate to a single robot performing measurements in static environments. Researches show that the performance of SLAM algorithms deteriorates under dynamic environments. In this paper, a multi-robot simultaneous localization and mapping (MR-SLAM) system is implemented within a...
متن کاملBearing-Only SLAM using Colour-based Feature Tracking
This paper presents identifies and addresses the difficulties that arise from implementing visual information into the Simultaneous Localization and Mapping (SLAM) problem, with an emphasis for outdoor applications. Through identifying these problems, techniques for integrating the visual & navigation are proposed with results from their preliminary applications. Video data is gathered through ...
متن کاملRecent Results in Extensions to Simultaneous Localization and Mapping
We report experimental results with bearings-only and range-only Simultaneous Localization and Mapping (SLAM). In the former case, we give the initial results from a new method that extends optimal shape-from-motion to incorporate angular rate and linear acceleration data. In the latter case, we have formulated a version of the SLAM problem that presumes a moving sensor able to measure only ran...
متن کاملRatSLAM: Using Models of Rodent Hippocampus for Robot Navigation and Beyond
The brain circuitry involved in encoding space in rodents has been extensively tested over the past thirty years, with an ever increasing body of knowledge about the components and wiring involved in navigation tasks. The learning and recall of spatial features is known to take place in and around the hippocampus of the rodent, where there is clear evidence of cells that encode the rodent's pos...
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