Results 31 to 40 of about 2,238,929 (282)
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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Dynamic visual SLAM and MEC technologies for B5G: a comprehensive review
EURASIP Journal on Wireless Communications and Networking, 2022 In recent years, dynamic visual SLAM techniques have been widely used in autonomous navigation, augmented reality, and virtual reality. However, the increasing demand for computational resources by SLAM techniques limits its application on resource ...
Jiansheng Peng +3 more
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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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Orbeez-SLAM: A Real-time Monocular Visual SLAM with ORB Features and NeRF-realized Mapping [PDF]
IEEE International Conference on Robotics and Automation, 2022 A spatial AI that can perform complex tasks through visual signals and cooperate with humans is highly anticipated. To achieve this, we need a visual SLAM that easily adapts to new scenes without pre-training and generates dense maps for downstream tasks
Chi-Ming Chung +8 more
semanticscholar +1 more source
Radar SLAM using visual features [PDF]
EURASIP Journal on Advances in Signal Processing, 2011 Abstract A vessel navigating in a critical environment such as an archipelago requires very accurate movement estimates. Intentional or unintentional jamming makes GPS unreliable as the only source of information and an additional independent supporting navigation system should be used.
Callmer, Jonas +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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DEEP LEARNING TO SUPPORT 3D MAPPING CAPABILITIES OF A PORTABLE VSLAM-BASED SYSTEM [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 The use of vision-based localization and mapping techniques, such as visual odometry and SLAM, has become increasingly prevalent in the field of Geomatics, particularly in mobile mapping systems. These methods provide real-time estimation of the 3D scene
N. Padkan +4 more
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