Results 11 to 20 of about 2,144,657 (230)
Panoramic Visual SLAM Technology for Spherical Images
Sensors, 2021 Simultaneous Localization and Mapping (SLAM) technology is one of the best methods for fast 3D reconstruction and mapping. However, the accuracy of SLAM is not always high enough, which is currently the subject of much research interest. Panoramic vision
Yi Zhang, Fei Huang
doaj +2 more sources
Progress and Applications of Visual SLAM [PDF]
Journal of Geodesy and Geoinformation Science, 2019 Visual simultaneous localization and mapping (SLAM) provides mapping and self-localization results for a robot in an unknown environment based on visual sensors, that have the advantages of small volume, low power consumption, and richness of information
Kaichang DI,Wenhui WAN,Hongying ZHAO,Zhaoqin LIU,Runzhi WANG,Feizhou ZHANG
doaj +1 more source
Sensors, 2022 Simultaneous Localisation and Mapping (SLAM) is one of the fundamental problems in autonomous mobile robots where a robot needs to reconstruct a previously unseen environment while simultaneously localising itself with respect to the map.
Tin Lai
doaj +1 more source
An improved SLAM based on RK-VIF: Vision and inertial information fusion via Runge-Kutta method
Defence Technology, 2023 Simultaneous Localization and Mapping (SLAM) is the foundation of autonomous navigation for unmanned systems. The existing SLAM solutions are mainly divided into the visual SLAM(vSLAM) equipped with camera and the lidar SLAM equipped with lidar. However,
Jia-shan Cui +5 more
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Monocular vision based indoor simultaneous localisation and mapping for quadrotor platform [PDF]
, 2012 An autonomous robot acting in an unknown dynamic environment requires a detailed understanding of its surroundings. This information is provided by mapping algorithms which are necessary to build a sensory representation of the environment and the ...
Agarwal, Saurav
core +3 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source