Results 31 to 40 of about 1,569 (165)
Semantic RGB-D SLAM for Rescue Robot Navigation [PDF]
IEEE Access, 2020 In this paper, we propose a semantic simultaneous localization and mapping (SLAM) framework for rescue robots, and report its use in navigation tasks. Our framework can generate not only geometric maps in the form of dense point-clouds but also corresponding point-wise semantic labels generated by a semantic segmentation convolutional neural network ...
Wenbang Deng +6 more
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Robust 3D Reconstruction Using HDR-Based SLAM
IEEE Access, 2021 3D reconstruction is an important topic in the field of the emerging applications such as smart robotics, virtual reality (VR), augmented reality (AR), and autonomous driving. RGB-D simultaneous localization and mapping (SLAM) technique is widely used in
Chia-Hung Yeh, Min-Hui Lin
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A benchmark for the evaluation of RGB-D SLAM systems [PDF]
2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012 In this paper, we present a novel benchmark for the evaluation of RGB-D SLAM systems. We recorded a large set of image sequences from a Microsoft Kinect with highly accurate and time-synchronized ground truth camera poses from a motion capture system. The sequences contain both the color and depth images in full sensor resolution (640 × 480) at video ...
Jürgen Sturm +4 more
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Semantic SLAM Based on Object Detection and Improved Octomap
IEEE Access, 2018 Due to the development of the computer vision, machine learning, and deep learning technologies, the research community focuses not only on the traditional SLAM problems, such as geometric mapping and localization, but also on semantic SLAM.
Liang Zhang +5 more
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DM-SLAM: A Feature-Based SLAM System for Rigid Dynamic Scenes
ISPRS International Journal of Geo-Information, 2020 Most Simultaneous Localization and Mapping (SLAM) methods assume that environments are static. Such a strong assumption limits the application of most visual SLAM systems.
Junhao Cheng +4 more
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An Improved Visual SLAM Based on Map Point Reliability under Dynamic Environments
Applied Sciences, 2023 The visual simultaneous localization and mapping (SLAM) method under dynamic environments is a hot and challenging issue in the robotic field. The oriented FAST and Rotated BRIEF (ORB) SLAM algorithm is one of the most effective methods.
Jianjun Ni +3 more
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A Monocular-Visual SLAM System with Semantic and Optical-Flow Fusion for Indoor Dynamic Environments
Micromachines, 2022 A static environment is a prerequisite for the stable operation of most visual SLAM systems, which limits the practical use of most existing systems.
Weifeng Chen +6 more
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TIMA SLAM: Tracking Independently and Mapping Altogether for an Uncalibrated Multi-Camera System
Sensors, 2021 We present a novel simultaneous localization and mapping (SLAM) system that extends the state-of-the-art ORB-SLAM2 for multi-camera usage without precalibration.
Omer Faruk Ince, Jun-Sik Kim
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Low-Bandwidth and Compute-Bound RGB-D Planar Semantic SLAM
Sensors, 2021 Visual simultaneous location and mapping (SLAM) using RGB-D cameras has been a necessary capability for intelligent mobile robots. However, when using point-cloud map representations as most RGB-D SLAM systems do, limitations in onboard compute resources,
Jincheng Zhang +4 more
doaj +1 more source
Advanced Science, EarlyView.This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu +16 more
wiley +1 more source