Visual SLAM and structure from motion in dynamic environments: A survey
In the last few decades, Structure from Motion (SfM) and visual Simultaneous Localization
and Mapping (visual SLAM) techniques have gained significant interest from both the …
and Mapping (visual SLAM) techniques have gained significant interest from both the …
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 mapping (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 …
Rgb-d slam in dynamic environments using point correlations
In this paper, a simultaneous localization and mapping (SLAM) method that eliminates the
influence of moving objects in dynamic environments is proposed. This method utilizes the …
influence of moving objects in dynamic environments is proposed. This method utilizes the …
Dynam-SLAM: An accurate, robust stereo visual-inertial SLAM method in dynamic environments
H Yin, S Li, Y Tao, J Guo… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Most existing vision-based simultaneous localization and mapping (SLAM) systems and
their variants still assume that the observation is absolutely static and cannot work well in …
their variants still assume that the observation is absolutely static and cannot work well in …
SOF-SLAM: A semantic visual SLAM for dynamic environments
L Cui, C Ma - IEEE access, 2019 - ieeexplore.ieee.org
Simultaneous Localization and Mapping (SLAM) plays an important role in the computer
vision and robotics field. The traditional SLAM framework adopts a strong static world …
vision and robotics field. The traditional SLAM framework adopts a strong static world …
A survey: which features are required for dynamic visual simultaneous localization and mapping?
In recent years, simultaneous localization and mapping in dynamic environments (dynamic
SLAM) has attracted significant attention from both academia and industry. Some pioneering …
SLAM) has attracted significant attention from both academia and industry. Some pioneering …
Cognitive robotics: Deep learning approaches for trajectory and motion control in complex environment
MU Shoukat, L Yan, D Deng, M Imtiaz, M Safdar… - Advanced Engineering …, 2024 - Elsevier
Abstract Simultaneous Localization and Mapping (SLAM) is the research hotspot of robot
positioning and navigation. In a large-scale complex environment, closed-loop detection by …
positioning and navigation. In a large-scale complex environment, closed-loop detection by …
A real-time dynamic object segmentation framework for SLAM system in dynamic scenes
J Chang, N Dong, D Li - IEEE Transactions on Instrumentation …, 2021 - ieeexplore.ieee.org
To accurately detect dynamic objects in dynamic scenes (DSs), a detection framework
equipped with visual-based measurement methods has been proposed in this article. First …
equipped with visual-based measurement methods has been proposed in this article. First …
Real-time dynamic SLAM algorithm based on deep learning
P Su, S Luo, X Huang - IEEE Access, 2022 - ieeexplore.ieee.org
In the traditional visual simultaneous localization and mapping (SLAM), the strong static
assumption leads to a large degradation in the accuracy of visual SLAM in dynamic …
assumption leads to a large degradation in the accuracy of visual SLAM in dynamic …
PSPNet-SLAM: A semantic SLAM detect dynamic object by pyramid scene parsing network
X Long, W Zhang, B Zhao - IEEE access, 2020 - ieeexplore.ieee.org
Simultaneous Localization and Mapping (SLAM) plays an important role in the computer
vision and robotic field. The traditional SLAM framework adopts a strong static world …
vision and robotic field. The traditional SLAM framework adopts a strong static world …