This paper presents ORB-SLAM, a feature-based monocular simultaneous localization and mapping (SLAM) system that operates in real time, in small and large indoor and outdoor …
Low textured scenes are well known to be one of the main Achilles heels of geometric computer vision algorithms relying on point correspondences, and in particular for visual …
Visual simultaneous localization and mapping (SLAM) has attracted high attention over the past few years. In this paper, a comprehensive survey of the state-of-the-art feature-based …
Extensive research in the field of monocular SLAM for the past fifteen years has yielded workable systems that found their way into various applications in robotics and augmented …
SY Loo, AJ Amiri, S Mashohor… - … on robotics and …, 2019 - ieeexplore.ieee.org
Reliable feature correspondence between frames is a critical step in visual odometry (VO) and visual simultaneous localization and mapping (V-SLAM) algorithms. In comparison with …
In this paper, we comprehensively discuss the current progress of visual-inertial (VI) navigation systems and sensor fusion research with a particular focus on small unmanned …
L Bampis, A Amanatiadis… - … International Journal of …, 2018 - journals.sagepub.com
In this paper, a novel pipeline for loop-closure detection is proposed. We base our work on a bag of binary feature words and we produce a description vector capable of characterizing a …
S Urban, S Hinz - arXiv preprint arXiv:1610.07336, 2016 - arxiv.org
The basis for most vision based applications like robotics, self-driving cars and potentially augmented and virtual reality is a robust, continuous estimation of the position and …