Results 21 to 30 of about 9,269 (274)
An Enhanced Pedestrian Visual-Inertial SLAM System Aided with Vanishing Point in Indoor Environments
Sensors, 2021 The visual-inertial simultaneous localization and mapping (SLAM) is a feasible indoor positioning system that combines the visual SLAM with inertial navigation.
Wennan Chai +6 more
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Towards dense visual SLAM. [PDF]
, 2011 Visual Simultaneous Localisation and Mapping (SLAM) is concerned with simultaneously estimating the pose of a camera and a map of the environment from a sequence of images. Traditionally, sparse maps comprising isolated point features have been employed, which facilitate robust localisation but are not well suited to advanced applications.
Pietzsch, Tobias
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Visual SLAM with Lightweight YOLOv5s in Dynamic Environment [PDF]
Jisuanji gongcheng, 2022 Simultaneous Localization and Mapping (SLAM) is indispensable for mobile robots to achieve accurate localization in an unknown environment. Currently, most visual SLAM systems assume that the external environment is static, but this assumption cannot be ...
WU Zijia, CHEN Hang, PENG Yong, SONG Wei
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SLAM Back-End Optimization Algorithm Based on Vision Fusion IPS
Sensors, 2022 SLAM (Simultaneous Localization and Mapping) is mainly composed of five parts: sensor data reading, front-end visual odometry, back-end optimization, loopback detection, and map building.
Yu Xia +5 more
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STDC-SLAM: A Real-Time Semantic SLAM Detect Object by Short-Term Dense Concatenate Network
IEEE Access, 2022 Visual Simultaneous Localization and Mapping (SLAM) plays an important role in computer vision and robotic field. With the development of Convolutional Neural Network (CNN), most scholars currently fuse CNN with visual SLAM to reduce the impact of ...
Zhangfang Hu +3 more
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SDF-SLAM: Semantic Depth Filter SLAM for Dynamic Environments
IEEE Access, 2020 Simultaneous Localization and Mapping (SLAM) has been widely applied in computer vision and robotics. For the dynamic environments which are very common in the real word, traditional visual SLAM system faces significant drop in localization and mapping ...
Linyan Cui, Chaowei Ma
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Visual-inertial curve SLAM [PDF]
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016 We present a simultaneous localization and mapping (SLAM) algorithm that uses Bezier curves as static landmark primitives rather than sparse feature points. Our approach allows us to estimate the full 6-DOF pose of a robot while providing a structured map which can be used to assist a robot in motion planning and control.
Kevin C. Meier +2 more
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Voxel Map for Visual SLAM [PDF]
2020 IEEE International Conference on Robotics and Automation (ICRA), 2020 In modern visual SLAM systems, it is a standard practice to retrieve potential candidate map points from overlapping keyframes for further feature matching or direct tracking. In this work, we argue that keyframes are not the optimal choice for this task, due to several inherent limitations, such as weak geometric reasoning and poor scalability.
Manasi Muglikar +2 more
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Measuring robustness of Visual SLAM [PDF]
2019 16th International Conference on Machine Vision Applications (MVA), 2019 Simultaneous localization and mapping (SLAM) is an essential component of robotic systems. In this work we perform a feasibility study of RGB-D SLAM for the task of indoor robot navigation. Recent visual SLAM methods, e.g. ORBSLAM2 \cite{mur2017orb}, demonstrate really impressive accuracy, but the experiments in the papers are usually conducted on just
David Prokhorov +4 more
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Visual SLAM with an Omnidirectional Camera [PDF]
2010 20th International Conference on Pattern Recognition, 2010 In this work we integrate the Spherical Camera Model for catadioptric systems in a Visual-SLAM application. The Spherical Camera Model is a projection model that unifies central catadioptric and conventional cameras. To integrate this model into the Extended Kalman Filter-based SLAM we require to linearize the direct and the inverse projection. We have
Alejandro Rituerto +2 more
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