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Published in 2023 at "Journal of Field Robotics"
DOI: 10.1002/rob.22137
Abstract: In the published article, on page 4, a sentence is appearing as “The score map learning process is the same as the original version.” should be read as “The score map learning process is the…
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Keywords:
detection deep;
incremental loop;
deep features;
fast incremental ... See more keywords
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Published in 2019 at "Autonomous Robots"
DOI: 10.1007/s10514-018-9797-3
Abstract: In recent years, flow sensing has gotten the attention of the robotics community as an exteroceptive sensing modality, in addition to the conventional underwater sensing modalities of vision and sonar. Earlier works on flow sensing…
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Keywords:
based localization;
localization;
loop closure;
map based ... See more keywords
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Published in 2018 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2018.09.486
Abstract: Abstract A correct loop closure detection is an important component of a robust SLAM (simultaneous localization and mapping) system. Loop closing refers to the process of correctly asserting that a mobile robot has returned to…
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Keywords:
closure;
loop closure;
convolutional autoencoder;
autoencoder aided ... See more keywords
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Published in 2021 at "Optik"
DOI: 10.1016/j.ijleo.2021.167230
Abstract: Abstract Loop-closure detection plays an important role in visual simultaneous localisation and mapping;it is an independent part of the visual odometer and can effectively reduce its accumulated error, in addition to helping with loop-closure detection…
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Keywords:
appearance;
loop closure;
novel fusing;
closure detection ... See more keywords
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Published in 2019 at "Molecular cell"
DOI: 10.1016/j.molcel.2019.03.003
Abstract: In the negative feedback loop driving fungal and animal circadian oscillators, negative elements (FREQUENCY [FRQ], PERIODS [PERs], and CRYPTOCHROMES [CRYs]) are understood to inhibit their own expression, in part by promoting the phosphorylation of their…
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Keywords:
code;
loop closure;
feedback loop;
feedback ... See more keywords
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Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-90511-4
Abstract: Loop closure detection is a key module in visual SLAM. During the robot’s movement, the cumulative error of the robot is reduced by the loop closure detection method, which can provide constraints for the back-end…
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Keywords:
loop closure;
closure detection;
slam;
method ... See more keywords
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1
Published in 2019 at "Electronics Letters"
DOI: 10.1049/el.2019.1148
Abstract: Loop closure detection is an indispensable component to reduce the error accumulation in localisation applications, however, it is hard to be implemented as a real-time application with high accuracy on the mobile platform. A place…
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Keywords:
loop closure;
place recognition;
closure detection;
closure ... See more keywords
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2
Published in 2022 at "Advanced Robotics"
DOI: 10.1080/01691864.2022.2081513
Abstract: In simultaneous localization and mapping (SLAM), map distortions appear due to the accumulation of pose estimation errors. Loop closure of graph-based SLAM is known as one of the major solutions to this problem. However, there…
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Keywords:
floor plans;
loop closure;
closure;
graph based ... See more keywords
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Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2024.3517699
Abstract: A robust back-end module with loop closure detection is crucial for accurate positioning and mapping in LiDAR-based simultaneous localization and mapping (SLAM) systems, particularly in Internet of Things (IoT) environments where multiple devices collaborate. Traditional…
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Keywords:
semantics;
loop closure;
slam;
lidar slam ... See more keywords
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Published in 2025 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2025.3612196
Abstract: LiDAR simultaneous localization and mapping (SLAM) technology plays a critical role in applications such as 3-D mapping and autonomous navigation. However, most existing SLAM systems are built on the assumption of a static environment, which…
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Keywords:
loop closure;
odometry;
slam;
semantic enhanced ... See more keywords
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Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2024.3357536
Abstract: Simultaneous Localization and Mapping (SLAM) technology based on LiDAR can achieve real-time robot positioning and establish environmental maps in unknown environments. LiDAR odometry can achieve accurate pose estimation in short distances or small-scale environments, but…
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Keywords:
loop closure;
closure detection;
slam;
lidar ... See more keywords