Visual Simultaneous Localization and Mapping (VSLAM) has been a hot topic of research since the 1990s, first based on traditional computer vision and recognition techniques and later on deep learning models. Although the implementation of VSLAM methods is far from perfect ...
The Simultaneous Localization and Mapping (SLAM) problem has been one of the most active research subjects since its formulation in the 1980s [1,2]. SLAM’s goal is to obtain a global and consistent estimate of a device’s path while reconstructing a map of the surrounding environment. The ...
SLAM is one of the most fundamental areas of research in robotics and computer vision. State of the art solutions has advanced significantly in terms of accuracy and stability. Unfortunately, not all the approaches are available as open-source solutions and free to use. The results of some of...
The paper also discusses the current trends and contemporary directions of VSLAM techniques that may help researchers investigate them. Keywords: visual SLAM; Computer Vision; robotics 1. Introduction Simultaneous Localization and Mapping (SLAM) refers to the process of estimating an unknown environment’...
Block diagram of the Intel® RealSense™ Tracking Camera T265. The SLAM algorithm identifies sets of salient features in the environment, such as a corner of a room or object that can be recognized over time to infer the device’s changing position relative to those points. This approach ...
Fallon, Language-extended indoor slam (lexis): A versatile system for real-time visualscene understanding, arXiv preprint arXiv:2309.15065, 2023. J. Chen, D. Barath, I. Armeni, M. Pollefeys, and H. Blum, where ami? scene retrieval with language, arXiv preprint arXiv:2404.14565, 2024. ...
Intel RealSense Tracking Camera T265, powered by the Intel Movidius Myriad™ 2 vision processing unit, delivers 6Dof, highly accurate inside-out tracking.
1, where current active topics are indicated with bold borders. We think that these topics are camera localization from large data, learning SLAM, keyframe-based SLAM, and multi-kind sensors SLAM. Fig. 1 Overview of image-based camera localization Full size image...
The research progress in multimodal learning has grown rapidly over the last decade in several areas, especially in computer vision. The growing potential
It seems intuitively obvious what visual attention is, so much so that the first person to study attention, William James, did not provide a definition for attention, but simply made the assumption that “we all know what attention is” (James, 1890)...