Simultaneous Localization and Mapping Techniques
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 کاملHeadslam - Head-mounted Simultaneous Localization and Mapping for Wearable Computing Applications
In this paper, we demonstrate how simultaneous localization and mapping techniques (SLAM) from robotics can be used in wearable computing to automatically create floor maps from sensor data recorded by a pedestrian. We give preliminary results based on different self-localization and motion models.
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 کاملRobot Localisation and Mapping with Stereo Vision
This paper presents an approach to Simultaneous Localization and Mapping (SLAM) based on stereo vision. Standard stereo techniques are used to estimate 3D scene structure (point clouds). Point clouds at subsequent times are registered to estimate robot motion, and used to build a global environment map. Preliminary experimental results are also presented and discussed. Key-Words: Robot localisa...
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