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Published in 2022 at "Journal of Field Robotics"
DOI: 10.1002/rob.22077
Abstract: Simultaneous Localization and Mapping (SLAM) is a process to use multiple sensors to position an unmanned mobile vehicle without previous knowledge of the environment, and meanwhile construct a map of this environment for the further…
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Keywords:
simultaneous localization;
localization mapping;
environment;
developments applications ... See more keywords
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Published in 2024 at "Journal of Field Robotics"
DOI: 10.1002/rob.22375
Abstract: Modern mobile robots require precise and robust localization and navigation systems to achieve mission tasks correctly. In particular, in the underwater environment, where Global Navigation Satellite Systems cannot be exploited, the development of localization and…
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Keywords:
navigation;
reconstruction;
pose graph;
localization mapping ... See more keywords
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Published in 2018 at "International Journal of Automation and Computing"
DOI: 10.1007/s11633-017-1109-4
Abstract: This paper models the complex simultaneous localization and mapping (SLAM) problem through a very flexible Markov random field and then solves it by using the iterated conditional modes algorithm. Markovian models allow to incorporate: any…
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Keywords:
methodology;
markov random;
conditional modes;
iterated conditional ... See more keywords
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Published in 2025 at "International Journal of Intelligent Robotics and Applications"
DOI: 10.1007/s41315-025-00419-5
Abstract: Simultaneous Localization and Mapping (SLAM) and Visual SLAM are crucial technologies in robotics, allowing autonomous systems to navigate and comprehend their environment. Deep learning (DL) has become a powerful tool in driving progress in these…
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Keywords:
deep learning;
localization mapping;
robotics;
simultaneous localization ... See more keywords
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Published in 2025 at "Robotica"
DOI: 10.1017/s0263574725102178
Abstract: Abstract Simultaneous localization and mapping technology is the basis for multi-robot systems to complete navigation, path planning, and autonomous exploration in complex, dynamic, and Global Positioning System (GPS)-denied environments. This paper reviews the current status…
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Keywords:
multi robot;
slam;
lidar slam;
localization mapping ... See more keywords
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Published in 2022 at "Chemical Science"
DOI: 10.1039/d2sc03587a
Abstract: Fluorescent probes for specific inter-organelle communication are of massive significance as such communication is essential for a diverse range of cellular events. Here, we present the microviscosity-sensitive fluorescence marker, Quinaldine Red (QR), and its dual…
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Keywords:
simultaneous localization;
mediated simultaneous;
localization mitochondria;
metaxin mediated ... See more keywords
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Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2819419
Abstract: The FastSLAM algorithm has become an effective way to solve the simultaneous localization and mapping (SLAM) problem. However, measured in terms of the number of particles required to build an accurate map, currently, its accuracy…
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Keywords:
simultaneous localization;
particle filter;
particle;
fast algorithm ... See more keywords
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Published in 2024 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2024.3383272
Abstract: To improve the accuracy and efficiency of LiDAR mapping, cooperative simultaneous localization and mapping (SLAM) has been considered for complex large scenes. Recognizing the same positions and detecting global loop closures are important for achieving…
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Keywords:
environment;
module;
cooperative simultaneous;
semanticcslam ... See more keywords
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Published in 2021 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2020.3000266
Abstract: A geometric nonlinear observer algorithm for Simultaneous Localization and Mapping (SLAM) developed on the Lie group of $\mathbb {SLAM}_{n}(3)$ is proposed. The presented novel solution estimates the vehicle’s pose (i.e., attitude and position) with respect…
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Keywords:
nonlinear observer;
simultaneous localization;
localization mapping;
guaranteed performance ... See more keywords
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Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3226071
Abstract: A reliable pose estimator robust to environmental disturbances is desirable for mobile robots. To this end, inertial measurement units (IMUs) play an important role because they can perceive the full motion state of the vehicle…
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Keywords:
simultaneous localization;
imu wheel;
terrain;
wheel ... See more keywords
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Published in 2023 at "IEEE Pervasive Computing"
DOI: 10.1109/mprv.2023.3274770
Abstract: Simultaneous localization and mapping (SLAM) is paramount for unmanned systems to achieve self-localization and navigation. It is challenging to perform SLAM in large environments, due to sensor limitations, complexity of the environment, and computational resources.…
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Keywords:
simultaneous localization;
radio fingerprints;
localization;
localization mapping ... See more keywords