Visual slam: What are the current trends and what to expect?
In recent years, Simultaneous Localization and Map** (SLAM) systems have shown
significant performance, accuracy, and efficiency gain. In this regard, Visual Simultaneous …
significant performance, accuracy, and efficiency gain. In this regard, Visual Simultaneous …
High-quality indoor scene 3D reconstruction with RGB-D cameras: A brief review
High-quality 3D reconstruction is an important topic in computer graphics and computer
vision with many applications, such as robotics and augmented reality. The advent of …
vision with many applications, such as robotics and augmented reality. The advent of …
M2dgr: A multi-sensor and multi-scenario slam dataset for ground robots
We introduce M2DGR: a novel large-scale dataset collected by a ground robot with a full
sensor-suite including six fish-eye and one sky-pointing RGB cameras, an infrared camera …
sensor-suite including six fish-eye and one sky-pointing RGB cameras, an infrared camera …
SG-SLAM: A real-time RGB-D visual SLAM toward dynamic scenes with semantic and geometric information
S Cheng, C Sun, S Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Simultaneous localization and map** (SLAM) is one of the fundamental capabilities for
intelligent mobile robots to perform state estimation in unknown environments. However …
intelligent mobile robots to perform state estimation in unknown environments. However …
DXSLAM: A robust and efficient visual SLAM system with deep features
D Li, X Shi, Q Long, S Liu, W Yang… - 2020 IEEE/RSJ …, 2020 - ieeexplore.ieee.org
A robust and efficient Simultaneous Localization and Map** (SLAM) system is essential
for robot autonomy. For visual SLAM algorithms, though the theoretical framework has been …
for robot autonomy. For visual SLAM algorithms, though the theoretical framework has been …
An appraisal of incremental learning methods
As a special case of machine learning, incremental learning can acquire useful knowledge
from incoming data continuously while it does not need to access the original data. It is …
from incoming data continuously while it does not need to access the original data. It is …
Robot navigation as hierarchical active inference
Localization and map** has been a long standing area of research, both in neuroscience,
to understand how mammals navigate their environment, as well as in robotics, to enable …
to understand how mammals navigate their environment, as well as in robotics, to enable …
Rdumb: A simple approach that questions our progress in continual test-time adaptation
Abstract Test-Time Adaptation (TTA) allows to update pre-trained models to changing data
distributions at deployment time. While early work tested these algorithms for individual fixed …
distributions at deployment time. While early work tested these algorithms for individual fixed …
A comparison of modern general-purpose visual SLAM approaches
A Merzlyakov, S Macenski - 2021 IEEE/RSJ International …, 2021 - ieeexplore.ieee.org
Advancing maturity in mobile and legged robotics technologies is changing the landscapes
where robots are being deployed and found. This innovation calls for a transformation in …
where robots are being deployed and found. This innovation calls for a transformation in …
Review of visual simultaneous localization and map** based on deep learning
Due to the limitations of LiDAR, such as its high cost, short service life and massive volume,
visual sensors with their lightweight and low cost are attracting more and more attention and …
visual sensors with their lightweight and low cost are attracting more and more attention and …