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.
Wei Gao
exaly +7 more sources
Survey and Evaluation of RGB-D SLAM [PDF]
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
exaly +4 more sources
RGB-D SLAM with Manhattan Frame Estimation Using Orientation Relevance [PDF]
Sensors, 2019 Due to image noise, image blur, and inconsistency between depth data and color image, the accuracy and robustness of the pairwise spatial transformation computed by matching extracted features of detected key points in existing sparse Red Green Blue ...
Liang Wang
exaly +4 more sources
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
exaly +4 more sources
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.
Amr Eldemiry, Wu Chen, Yaxin Li
exaly +4 more sources
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
Qiang Zhao, Yunjun Gao, Wenhui Wan
exaly +4 more sources
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
doaj +2 more sources
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
doaj +2 more sources
A New RGB-D SLAM Method with Moving Object Detection for Dynamic Indoor Scenes
Remote Sensing, 2019 Simultaneous localization and mapping (SLAM) methods based on an RGB-D camera have been studied and used in robot navigation and perception. So far, most such SLAM methods have been applied to a static environment. However, these methods are incapable of
Wenhui Wan
exaly +3 more sources
Visual-Inertial RGB-D SLAM with Encoder Integration of ORB Triangulation and Depth Measurement Uncertainties [PDF]
SensorsIn recent years, the accuracy of visual SLAM (Simultaneous Localization and Mapping) technology has seen significant improvements, making it a prominent area of research.
Zhan-Wu Ma, Wan-Sheng Cheng
doaj +2 more sources