Simultaneous Localization and Mapping Solutions Using Monocular and Stereo Visual Sensors with Baseline Scaling System
نویسندگان
چکیده
منابع مشابه
Real-Time Dense Simultaneous Localization and Mapping using Monocular Cameras
Cameras are powerful sensors for robotic navigation as they provide high-resolution environment information (color, shape, texture, etc.), while being lightweight, lowpower, and inexpensive. Exploiting such sensor data for navigation tasks typically falls into the realm of monocular simultaneous localization and mapping (SLAM), where both the robot’s pose and a map of the environment are estima...
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This paper addresses an online 6D SLAM method for a tracked wheel robot in an unknown and unstructured environment. While the robot pose is represented by its position and orientation over a 3D space, the environment is mapped with natural landmarks in the same space, autonomously collected using visual data from feature detectors. The observation model employs opportunistically features detect...
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In this paper we describe an approach that builds three dimensional maps using visual landmarks extracted from images of an unmodified environment. We propose a solution to the Simultaneous Localization and Mapping (SLAM) problem for autonomous mobile robots using visual landmarks. Our map is represented by a set of three dimensional landmarks referred to a global reference frame, each landmark...
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SLAM, the problem of a mobile robot building a map of its environment while simultaneously having to determine its location within that map, is one of the current fundamental challenges of robotics. Although a great deal of success has been achieved with laser range finders as sensors and a planar world assumption, low-cost commercial robots will benefit from robust SLAM using cameras only. Tow...
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ژورنال
عنوان ژورنال: Positioning
سال: 2019
ISSN: 2150-850X,2150-8526
DOI: 10.4236/pos.2019.104004