A comprehensive survey of visual slam algorithms
Simultaneous localization and mapping (SLAM) techniques are widely researched, since
they allow the simultaneous creation of a map and the sensors' pose estimation in an …
they allow the simultaneous creation of a map and the sensors' pose estimation in an …
Factor graphs for robot perception
F Dellaert, M Kaess - Foundations and Trends® in Robotics, 2017 - nowpublishers.com
We review the use of factor graphs for the modeling and solving of large-scale inference
problems in robotics. Factor graphs are a family of probabilistic graphical models, other …
problems in robotics. Factor graphs are a family of probabilistic graphical models, other …
SplaTAM: Splat Track & Map 3D Gaussians for Dense RGB-D SLAM
Dense simultaneous localization and mapping (SLAM) is crucial for robotics and augmented
reality applications. However current methods are often hampered by the non-volumetric or …
reality applications. However current methods are often hampered by the non-volumetric or …
Gaussian splatting slam
We present the first application of 3D Gaussian Splatting in monocular SLAM the most
fundamental but the hardest setup for Visual SLAM. Our method which runs live at 3fps …
fundamental but the hardest setup for Visual SLAM. Our method which runs live at 3fps …
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 …
consists of recurrent iterative updates of camera pose and pixelwise depth through a Dense …
Hydra: A real-time spatial perception system for 3D scene graph construction and optimization
3D scene graphs have recently emerged as a powerful high-level representation of 3D
environments. A 3D scene graph describes the environment as a layered graph where …
environments. A 3D scene graph describes the environment as a layered graph where …
RTAB‐Map as an open‐source lidar and visual simultaneous localization and mapping library for large‐scale and long‐term online operation
Distributed as an open‐source library since 2013, real‐time appearance‐based mapping
(RTAB‐Map) started as an appearance‐based loop closure detection approach with …
(RTAB‐Map) started as an appearance‐based loop closure detection approach with …
The revisiting problem in simultaneous localization and mapping: A survey on visual loop closure detection
KA Tsintotas, L Bampis… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Where am I? This is one of the most critical questions that any intelligent system should
answer to decide whether it navigates to a previously visited area. This problem has long …
answer to decide whether it navigates to a previously visited area. This problem has long …
Neural point-based graphics
We present a new point-based approach for modeling the appearance of real scenes. The
approach uses a raw point cloud as the geometric representation of a scene, and augments …
approach uses a raw point cloud as the geometric representation of a scene, and augments …
Orb-slam2: An open-source slam system for monocular, stereo, and rgb-d cameras
R Mur-Artal, JD Tardós - IEEE transactions on robotics, 2017 - ieeexplore.ieee.org
We present ORB-SLAM2, a complete simultaneous localization and mapping (SLAM)
system for monocular, stereo and RGB-D cameras, including map reuse, loop closing, and …
system for monocular, stereo and RGB-D cameras, including map reuse, loop closing, and …