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
Real-time visual SLAM based YOLO-Fastest for dynamic scenes
Sign Up to like & getrecommendations! Published in 2024 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/ad2669
Abstract: Within the realm of autonomous robotic navigation, simultaneous localization and mapping (SLAM) serves as a critical perception technology, drawing heightened attention in contemporary research. The traditional SLAM systems perform well in static environments, but in… read more here.
Keywords: navigation; time visual; real time; yolo fastest ... 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
GCV-SLAM: Ground Constrained Visual SLAM Through Local Ground Planes
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2024.3351571
Abstract: The classical visual Simultaneous Localization and Mapping(SLAM) algorithms assume that the camera moves in a free 3D space, while it is not valid for ground vehicles whose poses are influenced by ground surfaces. In recent… read more here.
Keywords: local ground; visual slam; ground planes; ground ... See more keywords
Highly Dynamic Visual SLAM Dense Map Construction Based on Indoor Environments
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3374523
Abstract: In indoor highly dynamic scenes or scenes with missing a priori dynamic information, most current schemes cannot effectively avoid the impact of moving objects on the performance of SLAM (Simultaneous Localization and Mapping) systems. In… read more here.
Keywords: dense; visual slam; map; construction ... See more keywords
SEGL-SLAM: A Visual SLAM With Segformer Segmentation and Line Features Enhancement in Dynamic Environments
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2025.3582241
Abstract: Visual simultaneous localization and mapping (VSLAM) is a crucial technology for autonomous navigation in robotics and remains a prominent area of research. The presence of dynamic objects significantly impacts the localization accuracy of visual SLAM… read more here.
Keywords: line features; segl slam; visual slam; dynamic environments ... 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