[HTML][HTML] A survey of state-of-the-art on visual SLAM

IA Kazerouni, L Fitzgerald, G Dooly, D Toal - Expert Systems with …, 2022 - Elsevier
This paper is an overview to Visual Simultaneous Localization and Map** (V-SLAM). We
discuss the basic definitions in the SLAM and vision system fields and provide a review of …

A comprehensive survey of visual slam algorithms

A Macario Barros, M Michel, Y Moline, G Corre… - Robotics, 2022 - mdpi.com
Simultaneous localization and map** (SLAM) techniques are widely researched, since
they allow the simultaneous creation of a map and the sensors' pose estimation in an …

[PDF][PDF] 2024 IEEE International Conference on Robotics and Automation (ICRA)

Y Peng, C Chen, G Huang - 2024 - par.nsf.gov
As edge devices equipped with cameras and inertial measurement units (IMUs) are
emerging, it holds huge implications to endow these mobile devices with spatial computing …

Nerf-slam: Real-time dense monocular slam with neural radiance fields

A Rosinol, JJ Leonard, L Carlone - 2023 IEEE/RSJ International …, 2023 - ieeexplore.ieee.org
We propose a novel geometric and photometric 3D map** pipeline for accurate and real-
time scene reconstruction from casually taken monocular images. To achieve this, we …

Droid-slam: Deep visual slam for monocular, stereo, and rgb-d cameras

Z Teed, J Deng - Advances in neural information …, 2021 - proceedings.neurips.cc
We introduce DROID-SLAM, a new deep learning based SLAM system. DROID-SLAM
consists of recurrent iterative updates of camera pose and pixelwise depth through a Dense …

Go-slam: Global optimization for consistent 3d instant reconstruction

Y Zhang, F Tosi, S Mattoccia… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Neural implicit representations have recently demonstrated compelling results on dense
Simultaneous Localization And Map** (SLAM) but suffer from the accumulation of errors …
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M Labbé, F Michaud - Journal of field robotics, 2019 - Wiley Online Library
Distributed as an open‐source library since 2013, real‐time appearance‐based map**
(RTAB‐Map) started as an appearance‐based loop closure detection approach with …