Corrigendum for “Fast and incremental loop closure detection with deep features and proximity graphs”
Sign Up to like & getrecommendations! 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… read more here.
Keywords: detection deep; incremental loop; deep features; fast incremental ... See more keywords
Convolutional Autoencoder aided loop closure detection for monocular SLAM
Sign Up to like & getrecommendations! 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… read more here.
Keywords: closure; loop closure; convolutional autoencoder; autoencoder aided ... See more keywords
A novel fusing semantic- and appearance-based descriptors for visual loop closure detection
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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… read more here.
Keywords: appearance; loop closure; novel fusing; closure detection ... See more keywords
Gridding place recognition for fast loop closure detection on mobile platforms
Sign Up to like & getrecommendations! 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… read more here.
Keywords: loop closure; place recognition; closure detection; closure ... See more keywords
iBoW-LCD: An Appearance-Based Loop-Closure Detection Approach Using Incremental Bags of Binary Words
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2018.2849609
Abstract: In this letter, we introduce iBoW-LCD, a novel appearance-based loop-closure detection method. The presented approach makes use of an incremental bag-of-words (BoW) scheme based on binary descriptors to retrieve previously seen similar images, avoiding any… read more here.
Keywords: appearance based; loop closure; based loop; ibow lcd ... See more keywords
ESA-VLAD: A Lightweight Network Based on Second-Order Attention and NetVLAD for Loop Closure Detection
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2021.3094228
Abstract: Loop closure detection (LCD) is an important portion of Simultaneous Localization and Mapping (SLAM) because of its ability to reduce accumulated position errors. In this letter, we propose a novel loop closure detection algorithm named… read more here.
Keywords: loop closure; closure detection; closure; esa vlad ... See more keywords
PADLoC: LiDAR-Based Deep Loop Closure Detection and Registration Using Panoptic Attention
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2023.3239312
Abstract: A key component of graph-based SLAM systems is the ability to detect loop closures in a trajectory to reduce the drift accumulated over time from the odometry. Most LiDAR-based methods achieve this goal by using… read more here.
Keywords: lidar based; detection registration; registration; loop closure ... See more keywords
A Hybrid Loop Closure Detection Method Based on Brain-Inspired Models
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Cognitive and Developmental Systems"
DOI: 10.1109/tcds.2022.3152910
Abstract: Various hippocampal-entorhinal-based models are used to construct brain-inspired simultaneous localization and mapping (SLAM) systems. Loop closure detection (LCD) is a critical process of SLAM systems for robots to relocalize themselves and correct accumulative errors. The… read more here.
Keywords: loop closure; closure detection; method; brain inspired ... See more keywords
Robust AUV Visual Loop-Closure Detection Based on Variational Autoencoder Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3145860
Abstract: The visual loop-closure detection for autonomous underwater vehicles (AUVs) is a key component to reduce the drift error accumulated in simultaneous localization and mapping tasks. However, due to viewpoint changes, textureless images, and fast-moving objects,… read more here.
Keywords: network; closure detection; loop closure;
Loop-Closure Detection Using Local Relative Orientation Matching
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2021.3074520
Abstract: Loop-closure detection (LCD), which aims to recognize a previously visited location, is a crucial component of the simultaneous localization and mapping system. In this paper, a novel appearance-based LCD method is presented. In particular, we… read more here.
Keywords: orientation matching; local relative; loop closure; closure detection ... See more keywords
Viewpoint-Invariant Loop Closure Detection Using Step-Wise Learning With Controlling Embeddings of Landmarks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3173681
Abstract: The research on loop closure detection has been carried out for the last many years; however, loop closure detection efficiency is still not that good and has been affected by many factors, including illumination conditions,… read more here.
Keywords: step wise; closure detection; loop closure; viewpoint invariant ... See more keywords