Crowd-SLAM: visual SLAM towards crowded environments using object detection
Abstract Simultaneous Localization and Mapping is a fundamental problem in mobile
robotics. However, the majority of Visual SLAM algorithms assume a static scenario, limiting …
robotics. However, the majority of Visual SLAM algorithms assume a static scenario, limiting …
Improving monocular visual SLAM in dynamic environments: an optical-flow-based approach
Visual Simultaneous Localization and Mapping (visual SLAM) has attracted more and more
researchers in recent decades and many state-of-the-art algorithms have been proposed …
researchers in recent decades and many state-of-the-art algorithms have been proposed …
WF-SLAM: A robust VSLAM for dynamic scenarios via weighted features
Y Zhong, S Hu, G Huang, L Bai, Q Li - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
The assumption of a static environment is typical in many visual simultaneous localization
and mapping (VSLAM) systems. However dynamic objects in open scenes will mislead …
and mapping (VSLAM) systems. However dynamic objects in open scenes will mislead …
Improving visual localization accuracy in dynamic environments based on dynamic region removal
Visual localization is a fundamental capability in robotics and has been well studied for
recent decades. Although many state-of-the-art algorithms have been proposed, great …
recent decades. Although many state-of-the-art algorithms have been proposed, great …
Visual SLAM in human populated environments: exploring the trade-off between accuracy and speed of YOLO and Mask R-CNN
JCV Soares, M Gattass… - 2019 19th International …, 2019 - ieeexplore.ieee.org
Simultaneous Localization and Mapping (SLAM) is a fundamental problem in mobile
robotics. However, the majority of Visual SLAM algorithms assume a static scenario, limiting …
robotics. However, the majority of Visual SLAM algorithms assume a static scenario, limiting …
Robust semantic mapping in challenging environments
Visual simultaneous localization and mapping (visual SLAM) has been well developed in
recent decades. To facilitate tasks such as path planning and exploration, traditional visual …
recent decades. To facilitate tasks such as path planning and exploration, traditional visual …
Improving dense mapping for mobile robots in dynamic environments based on semantic information
In recent decades, semantic mapping has become a hot topic benefited from the maturity of
visual simultaneous localization and mapping (visual SLAM) and the success of deep …
visual simultaneous localization and mapping (visual SLAM) and the success of deep …
Drso-slam: A dynamic rgb-d slam algorithm for indoor dynamic scenes
N Yu, M Gan, H Yu, K Yang - 2021 33rd Chinese Control and …, 2021 - ieeexplore.ieee.org
In order to improve low position accuracy and insufficient robust performance of service
robots in indoor dynamic scenes, a dynamic RGB-D simultaneous localization and mapping …
robots in indoor dynamic scenes, a dynamic RGB-D simultaneous localization and mapping …
Self-improving SLAM in dynamic environments: learning when to mask
Visual SLAM-Simultaneous Localization and Mapping-in dynamic environments typically
relies on identifying and masking image features on moving objects to prevent them from …
relies on identifying and masking image features on moving objects to prevent them from …
DSK-SLAM: A Dynamic SLAM System Combining Semantic Information and a novel Geometric Method Based on K-means Clustering
X He, L Ding, Y Lan - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
In dynamic SLAM systems, the traditional multi-view geometry method faces two main
challenges. The first issue to address is how to select an appropriate threshold in order to …
challenges. The first issue to address is how to select an appropriate threshold in order to …