Results 21 to 30 of about 2,238,929 (282)
UVS: underwater visual SLAM—a robust monocular visual SLAM system for lifelong underwater operations
Autonomous Robots, 2023 In this paper, a visual simultaneous localization and mapping (VSLAM/visual SLAM) system called underwater visual SLAM (UVS) system is presented, specifically tailored for camera-only navigation in natural underwater environments.
M. Leonardi +3 more
semanticscholar +3 more sources
European Conference on Computer VisionRecent work in visual SLAM has shown the effectiveness of using deep network backbones. Despite excellent accuracy, however, such approaches are often expensive to run or do not generalize well zero-shot.
Lahav Lipson, Zachary Teed, Jia Deng
semanticscholar +3 more sources
IEEE AccessTraditional simultaneous localization and mapping (SLAM) methodologies predominantly rely on the assumption of a static environment. This constraint limits the applicability of most visual SLAM systems in various real-world scenarios.
Qiang Ji +3 more
doaj +2 more sources
Dynamic SLAM: A Visual SLAM in Outdoor Dynamic Scenes
IEEE Transactions on Instrumentation and Measurement, 2023 Simultaneous localization and mapping (SLAM) has been widely used in augmented reality (AR), virtual reality (VR), robotics, and autonomous vehicles as the theoretical basis for robots to perceive their environment.
Shuhuan Wen +6 more
semanticscholar +2 more sources
GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting [PDF]
Computer Vision and Pattern Recognition, 2023 In this paper, we introduce GS-SLAM that first utilizes 3D Gaussian representation in the Simultaneous Localization and Mapping (SLAM) system. It facilitates a better bal-ance between efficiency and accuracy.
Chi Yan +6 more
semanticscholar +1 more source
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual–Inertial, and Multimap SLAM [PDF]
IEEE Transactions on robotics, 2020 This article presents ORB-SLAM3, the first system able to perform visual, visual-inertial and multimap SLAM with monocular, stereo and RGB-D cameras, using pin-hole and fisheye lens models.
C. Campos +4 more
semanticscholar +1 more source
TartanAir: A Dataset to Push the Limits of Visual SLAM [PDF]
IEEE/RJS International Conference on Intelligent RObots and Systems, 2020 We present a challenging dataset, the TartanAir, for robot navigation tasks and more. The data is collected in photo-realistic simulation environments with the presence of moving objects, changing light and various weather conditions.
Wenshan Wang +8 more
semanticscholar +1 more source
A survey of state-of-the-art on visual SLAM
Expert Systems With Applications, 2022 I. A. Kazerouni +3 more
semanticscholar +3 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
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