Results 21 to 30 of about 1,847 (173)
GL-VSLAM: A General Lightweight Visual SLAM Approach for RGB-D and Stereo Cameras [PDF]
SensorsFeature-based indirect SLAM is more robust than direct SLAM; however, feature extraction and descriptor computation are time-consuming. In this paper, we propose GL-VSLAM, a general lightweight visual SLAM approach designed for RGB-D and stereo cameras ...
Xu Li +5 more
doaj +2 more sources
W-VSLAM: A Visual Mapping Algorithm for Indoor Inspection Robots. [PDF]
Sensors (Basel)In recent years, with the widespread application of indoor inspection robots, high-precision, robust environmental perception has become essential for robotic mapping. Addressing the issues of visual–inertial estimation inaccuracies due to redundant pose degrees of freedom and accelerometer drift during the planar motion of mobile robots in indoor ...
Luo D, Huang Y, Huang X, Miao M, Gao X.
europepmc +4 more sources
Improving SLAM-Based Navigation in Flexible Ureteroscopy by Kidney Stone and Surgical Tool Segmentation. [PDF]
Healthc Technol LettNavigation in flexible ureteroscopy is challenging due to its dynamic environment. We propose to segment the possible dynamic objects (kidney stones and surgical tools) and use the segmentation mask in the SLAM system to improve its accuracy. ABSTRACT Flexible ureteroscopy is a widely used surgical procedure for diagnosing and treating various urinary ...
Oliva-Maza L +5 more
europepmc +2 more sources
An Overview on Visual SLAM: From Tradition to Semantic
Remote Sensing, 2022 Visual SLAM (VSLAM) has been developing rapidly due to its advantages of low-cost sensors, the easy fusion of other sensors, and richer environmental information.
Weifeng Chen +7 more
doaj +1 more source
Benchmarking Cameras for Open VSLAM Indoors [PDF]
2020 25th International Conference on Pattern Recognition (ICPR), 2021 In this paper we benchmark different types of cameras and evaluate their performance in terms of reliable localization reliability and precision in Visual Simultaneous Localization and Mapping (vSLAM). Such benchmarking is merely found for visual odometry, but never for vSLAM. Existing studies usually compare several algorithms for a given camera.
Kevin Chappellet +4 more
openaire +1 more source
Modelling Software Architecture for Visual Simultaneous Localization and Mapping
Automation, 2021 Visual simultaneous localization and mapping (VSLAM) is an essential technique used in areas such as robotics and augmented reality for pose estimation and 3D mapping. Research on VSLAM using both monocular and stereo cameras has grown significantly over
Bhavyansh Mishra +2 more
doaj +1 more source
Review of Visual Simultaneous Localization and Mapping Based on Deep Learning
Remote Sensing, 2023 Due to the limitations of LiDAR, such as its high cost, short service life and massive volume, visual sensors with their lightweight and low cost are attracting more and more attention and becoming a research hotspot.
Yao Zhang +4 more
doaj +1 more source
Deep Learning Techniques for Visual SLAM: A Survey
IEEE Access, 2023 Visual Simultaneous Localization and Mapping (VSLAM) has attracted considerable attention in recent years. This task involves using visual sensors to localize a robot while simultaneously constructing an internal representation of its environment ...
Saad Mokssit +3 more
doaj +1 more source
A systematic literature review on long‐term localization and mapping for mobile robots
Journal of Field Robotics, Volume 40, Issue 5, Page 1245-1322, August 2023., 2023 Abstract Long‐term operation of robots creates new challenges to Simultaneous Localization and Mapping (SLAM) algorithms. Long‐term SLAM algorithms should adapt to recent changes while preserving older states, when dealing with appearance variations (lighting, daytime, weather, or seasonal) or environment reconfiguration. When also operating robots for
Ricardo B. Sousa +2 more
wiley +1 more source
A Novel Motion Blur Resistant vSLAM Framework for Micro/Nano-UAVs
Drones, 2021 Localization and mapping technologies are of great importance for all varieties of Unmanned Aerial Vehicles (UAVs) to perform their operations. In the near future, it is planned to increase the use of micro/nano-size UAVs.
Buğra Şimşek, Hasan Şakir Bilge
doaj +1 more source