DA-IRRK: Data-Adaptive Iteratively Reweighted Robust Kernel-Based Approach for Back-End Optimization in Visual SLAM [PDF]
SensorsBack-end optimization is a key process to eliminate the cumulative error in Visual Simultaneous Localization and Mapping (VSLAM). Existing VSLAM frameworks often use kernel function-based back-end optimization methods.
Zhimin Hu +5 more
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The Energy Efficiency Multi-Robot System and Disinfection Service Robot Development in Large-Scale Complex Environment [PDF]
Sensors, 2023 In recent years, multi-robot control systems and service robots equipped with graphical computing have been introduced in various application scenarios. However, the long-term operation of VSLAM calculation leads to reduced energy efficiency of the robot,
Chin-Sheng Chen +2 more
doaj +2 more sources
DIO-SLAM: A Dynamic RGB-D SLAM Method Combining Instance Segmentation and Optical Flow [PDF]
SensorsFeature points from moving objects can negatively impact the accuracy of Visual Simultaneous Localization and Mapping (VSLAM) algorithms, while detection or semantic segmentation-based VSLAM approaches often fail to accurately determine the true motion ...
Lang He +3 more
doaj +2 more sources
2HR-Net VSLAM: Robust visual SLAM based on dual high-reliability feature matching in dynamic environments. [PDF]
PLoS ONEVisual Simultaneous Localization and Mapping (VSLAM) is the key technology for autonomous navigation of mobile robots. However, feature-based VSLAM systems still face two major challenges in dynamic complex environments: insufficient feature reliability ...
Wang Yang +3 more
doaj +2 more sources
Visual SLAM for Dynamic Environments Based on Object Detection and Optical Flow for Dynamic Object Removal [PDF]
Sensors, 2022 In dynamic indoor environments and for a Visual Simultaneous Localization and Mapping (vSLAM) system to operate, moving objects should be considered because they could affect the system’s visual odometer stability and its position estimation accuracy ...
Charalambos Theodorou +2 more
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Development of an Online Adaptive Parameter Tuning vSLAM Algorithm for UAVs in GPS-Denied Environments [PDF]
Sensors, 2022 In recent years, unmanned aerial vehicles (UAVs) have been applied in many fields owing to their mature flight control technology and easy-to-operate characteristics.
Chieh-Li Chen, Rong He, Chao-Chung Peng
doaj +2 more sources
Smart Safety Helmets with Integrated Vision Systems for Industrial Infrastructure Inspection: A Comprehensive Review of VSLAM-Enabled Technologies [PDF]
SensorsSmart safety helmets equipped with vision systems are emerging as powerful tools for industrial infrastructure inspection. This paper presents a comprehensive state-of-the-art review of such VSLAM-enabled (Visual Simultaneous Localization and Mapping ...
Emmanuel A. Merchán-Cruz +8 more
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VSLAM method based on object detection in dynamic environments. [PDF]
Front Neurorobot, 2022 Augmented Reality Registration field now requires improved SLAM systems to adapt to more complex and highly dynamic environments. The commonly used VSLAM algorithm has problems such as excessive pose estimation errors and easy loss of camera tracking in dynamic scenes. To solve these problems, we propose a real-time tracking and mapping method based on
Liu J, Gu Q, Chen D, Yan D.
europepmc +4 more sources
Sampling visual SLAM with a wide‐angle camera for legged mobile robots
IET Cyber-systems and Robotics, 2022 Precise localisation and navigation are the two most important tasks for mobile robots. Visual simultaneous localisation and mapping (VSLAM) is useful in localisation systems of mobile robots.
Guangyu Fan +3 more
doaj +2 more sources
Construction and Application of Virtual Reality-Based Sports Rehabilitation Training Program
Occupational Therapy International, 2022 This paper adopts virtual reality technology to conduct in-depth research and analysis on sports rehabilitation training, designs a corresponding sports rehabilitation training program, and applies it to practice.
Huijun Yan
doaj +2 more sources