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Map Management for Efficient Simultaneous Localization and Mapping (SLAM)
Autonomous Robots, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gamini Dissanayake +3 more
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Simultaneous localization and mapping (SLAM)
2009In chapter 4 the localization problem is introduced, which is the estimation of the position and orientation of the amr in its environment. It is shown that this problem can be solved with specific sensors or based on specific features of the environment.
Karsten Berns, Ewald von Puttkamer
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SP-SLAM: Surfel-Point Simultaneous Localization and Mapping
IEEE/ASME Transactions on Mechatronics, 2022In this article, a novel method for simultaneous localization and mapping (SLAM) named surface elements (surfel) point SLAM (SP-SLAM) is proposed using an RGB-D camera.
Hae Min Cho, Hyunggi Jo, Euntai Kim
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Computationally efficient algorithm for simultaneous localization and mapping (SLAM)
2013 10th IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC), 2013FastSLAM is a popular method to solve the problem of simultaneous localization and mapping. However, when the number of landmarks present in real environments increases, there are excessive comparisons of the measurement with all the existing landmarks in particles.
Cheng-Kai Yang +2 more
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Analysis of positioning uncertainty in simultaneous localization and mapping (SLAM)
2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566), 2005This paper studies the time evolution of the covariance of the position estimates in single-robot simultaneous localization and mapping (SLAM). A closed-form expression is derived, that establishes a functional relation between the noise parameters of the robot's proprioceptive and exteroceptive sensors, the number of features being mapped, and the ...
Anastasios I. Mourikis +1 more
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Edge-SLAM: Edge-Assisted Visual Simultaneous Localization and Mapping
ACM Transactions on Embedded Computing Systems, 2022Localization in urban environments is becoming increasingly important and used in tools such as ARCore [18], ARKit [34] and others. One popular mechanism to achieve accurate indoor localization and a map of the space is using Visual Simultaneous Localization and Mapping (Visual-SLAM). However, Visual-SLAM is known to be resource-intensive in memory and
Ali J. Ben Ali +5 more
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β-SLAM: Simultaneous localization and grid mapping with beta distributions
Information Fusion, 2019Abstract Simultaneous localization and mapping (SLAM) is one of the most frequently studied problems in mobile robotics. Different map representations have been proposed in the past and a popular one are occupancy grid maps, which are particularly well suited for navigation tasks. The uncertainty in these maps is usually modeled as a single Bernoulli
Joachim Clemens +2 more
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Review of simultaneous localization and mapping (SLAM) for construction robotics applications
Automation in ConstructionYong K Cho
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Exploration: Simultaneous Localization and Mapping (SLAM)
Computer Vision, 2014Samunda Perera +2 more
semanticscholar +3 more sources