SGC-VSLAM: A Semantic and Geometric Constraints VSLAM for Dynamic Indoor Environments [PDF]
Sensors, 2020 As one of the core technologies for autonomous mobile robots, Visual Simultaneous Localization and Mapping (VSLAM) has been widely researched in recent years.
Shiqiang Yang +4 more
doaj +3 more sources
Dynamic Body VSLAM with Semantic Constraints [PDF]
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015 Image based reconstruction of urban environments is a challenging problem that deals with optimization of large number of variables, and has several sources of errors like the presence of dynamic objects.
Chari, Visesh +3 more
core +2 more sources
YDD-SLAM: Indoor Dynamic Visual SLAM Fusing YOLOv5 with Depth Information [PDF]
Sensors, 2023 Simultaneous location and mapping (SLAM) technology is key in robot autonomous navigation. Most visual SLAM (VSLAM) algorithms for dynamic environments cannot achieve sufficient positioning accuracy and real-time performance simultaneously.
Peichao Cong +6 more
doaj +2 more sources
MGC-VSLAM: A Meshing-Based and Geometric Constraint VSLAM for Dynamic Indoor Environments [PDF]
IEEE Access, 2020 Visual Simultaneous Localization and Mapping (VSLAM) system is considered to be a fundamental capability for autonomous mobile robots. However, most of the existing VSLAM algorithms adopt a strong scene rigidity assumption for analysis convenience, which
Shiqiang Yang +4 more
doaj +2 more sources
Direct and Indirect vSLAM Fusion for Augmented Reality [PDF]
Journal of Imaging, 2021 Augmented reality (AR) is an emerging technology that is applied in many fields. One of the limitations that still prevents AR to be even more widely used relates to the accessibility of devices.
Mohamed Outahar +2 more
doaj +4 more sources
Performance improvement in VSLAM using stabilized feature points [PDF]
Mathematical and Computational Applications, 2013 Simultaneous localization and mapping (SLAM) is the main prerequisite for the autonomy of a mobile robot. In this paper, we present a novel method that enhances the consistency of the map using stabilized corner features.
Sahin, Caner +3 more
core +4 more sources
Original Loop-closure Detection Algorithm for Monocular vSLAM [PDF]
, 2017 Vision-based simultaneous localization and mapping (vSLAM) is a well-established problem in mobile robotics and monocular vSLAM is one of the most challenging variations of that problem nowadays.
Bokovoy, Andrey, Yakovlev, Konstantin
core +4 more sources
A Comparative Review on Enhancing Visual Simultaneous Localization and Mapping with Deep Semantic Segmentation [PDF]
SensorsVisual simultaneous localization and mapping (VSLAM) enhances the navigation of autonomous agents in unfamiliar environments by progressively constructing maps and estimating poses.
Xiwen Liu +5 more
doaj +2 more sources
A Lightweight Visual Simultaneous Localization and Mapping Method with a High Precision in Dynamic Scenes [PDF]
Sensors, 2023 Currently, in most traditional VSLAM (visual SLAM) systems, static assumptions result in a low accuracy in dynamic environments, or result in a new and higher level of accuracy but at the cost of sacrificing the real–time property.
Qi Zhang +4 more
doaj +2 more sources
Visual SLAM: What Are the Current Trends and What to Expect? [PDF]
Sensors, 2022 In recent years, Simultaneous Localization and Mapping (SLAM) systems have shown significant performance, accuracy, and efficiency gain. In this regard, Visual Simultaneous Localization and Mapping (VSLAM) methods refer to the SLAM approaches that employ
Ali Tourani +3 more
doaj +2 more sources