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DGOMapping: Real-Time Multi-Agent Mapping Based on 4D Gaussian Splatting. [PDF]

Sensors (Basel)
Li Y, Wu F, Ye P, Jia Q.
europepmc   +1 more source

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Simultaneous localization and mapping (SLAM): part II

IEEE Robotics and Automation Magazine, 2006
This paper discusses the recursive Bayesian formulation of the simultaneous localization and mapping (SLAM) problem in which probability distributions or estimates of absolute or relative locations of landmarks and vehicle pose are obtained.
T Bailey, H Durrant-Whyte
exaly   +2 more sources

Review on simultaneous localization and mapping (SLAM)

2015 IEEE International Conference on Control System, Computing and Engineering (ICCSCE), 2015
Simultaneous localization and mapping (SLAM) is a technique applied in artificial intelligence mobile robot for a self-exploration in numerous geographical environment. SLAM becomes fundamental research area in recent days as it promising solution in solving most of problems which related to the self-exploratory oriented artificial intelligence mobile ...
Alif Ridzuan Khairuddin, Mohamad Shukor Talib, Habibollah Haron   +2 more
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Map Management for Efficient Simultaneous Localization and Mapping (SLAM)

Autonomous Robots, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gamini Dissanayake, Stefan B. Williams, Hugh F. Durrant-Whyte, Tim Bailey   +3 more
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Combinatorial maps for simultaneous localization and map building (SLAM)

2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566), 2005
In this article, we focus on environment models for the well-known simultaneous localisation and map building (SLAM) problem, which has received considerable attention in the robotics community over the past few years. First, we compare different existing map representations to discuss their advantages and limitations in the scope of indoor robotics ...
Delphine Dufourd, Raja Chatila 0001, Dominique Luzeaux   +2 more
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Simultaneous localization and mapping (SLAM)

2009
In 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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Computationally efficient algorithm for simultaneous localization and mapping (SLAM)

2013 10th IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC), 2013
FastSLAM 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, Chen-Chien James Hsu, Yin-Tien Wang   +2 more
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Edge-SLAM: Edge-Assisted Visual Simultaneous Localization and Mapping

ACM Transactions on Embedded Computing Systems, 2022
Localization 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, Marziye Kouroshli, Sofiya Semenova, Zakieh Sadat Hashemifar, Steven Y. Ko, Karthik Dantu   +5 more
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