Unsupervised learning to detect loops using deep neural networks for visual SLAM system
Sign Up to like & getrecommendations! Published in 2017 at "Autonomous Robots"
DOI: 10.1007/s10514-015-9516-2
Abstract: This paper is concerned of the loop closure detection problem for visual simultaneous localization and mapping systems. We propose a novel approach based on the stacked denoising auto-encoder (SDA), a multi-layer neural network that autonomously… read more here.
Keywords: visual slam; slam; unsupervised learning; loops using ... See more keywords
Selective image registration for efficient visual SLAM on planar surface structures in underwater environment
Sign Up to like & getrecommendations! Published in 2019 at "Autonomous Robots"
DOI: 10.1007/s10514-018-09824-1
Abstract: This paper presents a computationally efficient approach that can be applied to visual simultaneous localization and mapping (SLAM) for the autonomous inspection of underwater structures using monocular vision. A selective image registration scheme consisting of… read more here.
Keywords: surface; visual slam; selective image; image ... See more keywords
A deep-learning real-time visual SLAM system based on multi-task feature extraction network and self-supervised feature points
Sign Up to like & getrecommendations! Published in 2021 at "Measurement"
DOI: 10.1016/j.measurement.2020.108403
Abstract: Abstract Simultaneous Localization and Mapping (SLAM) is the basis for intelligent mobile robots to work in unknown environments. However, traditional feature extraction algorithms that traditional visual SLAM systems rely on have difficulty dealing with texture-less regions… read more here.
Keywords: visual slam; feature points; feature; slam system ... See more keywords
Visual SLAM Based on Semantic Segmentation and Geometric Constraints for Dynamic Indoor Environments
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3185766
Abstract: Simultaneous localization and mapping (SLAM), a core technology of mobile robots and autonomous driving, has received more and more attention in recent years. However, most of the existing visual SLAM algorithms do not consider the… read more here.
Keywords: information; system; slam; feature ... See more keywords
Drift-Free Visual SLAM for Mobile Robot Localization by Integrating UWB Technology
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3203438
Abstract: Visual simultaneous localization and mapping (vSLAM or visual SLAM) is an important technique for mobile robot localization in the global navigation satellite system denied (GNSS-denied) environments. However, the positioning accuracy could become unbearable due to… read more here.
Keywords: mobile robot; robot localization; localization; visual slam ... See more keywords
DynNetSLAM: Dynamic Visual SLAM Network Offloading
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3218774
Abstract: Existing Visual Simultaneous Localization And Mapping (vSLAM) approaches that offload the complex self-localization computations from mobile robots over a wireless network to edge computing are limited to static offloading, i.e., the offloaded computation tasks are… read more here.
Keywords: network; slam; visual slam; network offloading ... See more keywords
DynaSLAM: Tracking, Mapping, and Inpainting in Dynamic Scenes
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2018.2860039
Abstract: The assumption of scene rigidity is typical in SLAM algorithms. Such a strong assumption limits the use of most visual SLAM systems in populated real-world environments, which are the target of several relevant applications like… read more here.
Keywords: tracking mapping; visual slam; slam; robotics ... See more keywords
Collaborative Visual SLAM Using Compressed Feature Exchange
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2018.2878920
Abstract: In the field of robotics, collaborative simultaneous localization and mapping (SLAM) is still a challenging problem. The exploration of unknown large-scale environments benefits from sharing the work among multiple agents possibly equipped with different abilities,… read more here.
Keywords: exchange; robotics; visual slam; collaborative visual ... See more keywords
Perceptual Aliasing++: Adversarial Attack for Visual SLAM Front-End and Back-End
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3150031
Abstract: Similar appearing places are known to confuse place recognition methods (a.k.a perceptual aliasing). Robust visual SLAM methods have shown impressive resilience against scenarios having moderate perceptual aliasing. In this work, we evaluate visual SLAM in… read more here.
Keywords: back ends; slam; slam front; perceptual aliasing ... See more keywords
Visual SLAM algorithms: a survey from 2010 to 2016
Sign Up to like & getrecommendations! Published in 2017 at "IPSJ Transactions on Computer Vision and Applications"
DOI: 10.1186/s41074-017-0027-2
Abstract: SLAM is an abbreviation for simultaneous localization and mapping, which is a technique for estimating sensor motion and reconstructing structure in an unknown environment. Especially, Simultaneous Localization and Mapping (SLAM) using cameras is referred to… read more here.
Keywords: algorithms survey; slam algorithms; visual slam; slam ... See more keywords
Tightly-coupled fusion of iGPS measurements in optimization-based visual SLAM.
Sign Up to like & getrecommendations! Published in 2023 at "Optics express"
DOI: 10.1364/oe.481848
Abstract: The monocular visual Simultaneous Localization and Mapping (SLAM) can achieve accurate and robust pose estimation with excellent perceptual ability. However, accumulated image error over time brings out excessive trajectory drift in a GPS-denied indoor environment… read more here.
Keywords: igps measurements; visual slam; igps; optimization based ... See more keywords