Results 11 to 20 of about 14,413,856 (151)
Dense RGB-D SLAM with Multiple Cameras [PDF]
Sensors, 2018 A multi-camera dense RGB-D SLAM (simultaneous localization and mapping) system has the potential both to speed up scene reconstruction and to improve localization accuracy, thanks to multiple mounted sensors and an enlarged effective field of view.
Zhanyi Hu, Wei Gao
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Autonomous Exploration of Unknown Indoor Environments for High-Quality Mapping Using Feature-Based RGB-D SLAM [PDF]
Sensors, 2022 Simultaneous localization and mapping (SLAM) system-based indoor mapping using autonomous mobile robots in unknown environments is crucial for many applications, such as rescue scenarios, utility tunnel monitoring, and indoor 3D modeling.
Amr Eldemiry, Chih-Yung Wen, Wu Chen
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RGB-D SLAM Combining Visual Odometry and Extended Information Filter [PDF]
Sensors, 2015 In this paper, we present a novel RGB-D SLAM system based on visual odometry and an extended information filter, which does not require any other sensors or odometry.
Heng Zhang +3 more
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RGB-D SLAM Based on Extended Bundle Adjustment with 2D and 3D Information [PDF]
Sensors, 2016 In the study of SLAM problem using an RGB-D camera, depth information and visual information as two types of primary measurement data are rarely tightly coupled during refinement of camera pose estimation. In this paper, a new method of RGB-D camera SLAM
Kaichang Di, Yexin Wang, Qiang Zhao
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A Novel RGB-D SLAM Algorithm Based on Cloud Robotics [PDF]
Sensors, 2019 In this paper, we present a novel red-green-blue-depth simultaneous localization and mapping (RGB-D SLAM) algorithm based on cloud robotics, which combines RGB-D SLAM with the cloud robot and offloads the back-end process of the RGB-D SLAM algorithm to ...
Heng Zhang, Yanli Liu
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RGB-D Object SLAM Using Quadrics for Indoor Environments
Sensors, 2020 Indoor service robots need to build an object-centric semantic map to understand and execute human instructions. Conventional visual simultaneous localization and mapping (SLAM) systems build a map using geometric features such as points, lines, and ...
Ziwei Liao, Xianyu Qi
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RGB-D SLAM: A Review of Methods and Performance Trade-Offs for Different Requirements [PDF]
SensorsThe RGB-D (Red, Green, Blue plus Depth) camera is a widely used onboard sensor for Simultaneous Localization and Mapping (SLAM), as it captures RGB images and depth information simultaneously. This capability has made RGB-D SLAM a topic of broad research
Yixin Yan +4 more
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Survey and Evaluation of RGB-D SLAM
IEEE Access, 2021 The traditional visual SLAM systems take the monocular or stereo camera as input sensor, with complex map initialization and map point triangulation steps needed for 3D map reconstruction, which are easy to fail, computationally complex and can cause ...
Shishun Zhang, Wenbing Tao
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Robust RGB-D SLAM Using Point and Line Features for Low Textured Scene [PDF]
Sensors, 2020 Three-dimensional (3D) reconstruction using RGB-D camera with simultaneous color image and depth information is attractive as it can significantly reduce the cost of equipment and time for data collection.
Yajing Zou +3 more
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PL-GM:RGB-D SLAM With a Novel 2D and 3D Geometric Constraint Model of Point and Line Features
IEEE Access, 2021 In the study of RGB-D SLAM (Simultaneous Localization and Mapping), two types of primary visual features, point and line features, have been widely utilized to calculate the camera pose.
Chenyang Zhang
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