Results 81 to 90 of about 1,569 (165)

DKB-SLAM: Dynamic RGB-D Visual SLAM with Efficient Keyframe Selection and Local Bundle Adjustment

Robotics
Reliable navigation for mobile robots in dynamic, human-populated environments remains a significant challenge, as moving objects often cause localization drift and map corruption.
Qian Sun, Ziqiang Xu, Yibing Li, Yidan Zhang, Fang Ye   +4 more
doaj   +1 more source

Dense collaborative mapping with deep visual SLAM method [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
The creation of highly accurate and collaborative mapping algorithms is crucial for the progress of SLAM technology, as it greatly improve the efficiency of building detailed maps.
P. Pan, W. Zhang, N. Haala
doaj   +1 more source

DGFlow-SLAM: A Novel Dynamic Environment RGB-D SLAM without Prior Semantic Knowledge Based on Grid Segmentation of Scene Flow. [PDF]

Biomimetics (Basel), 2022
Long F, Ding L, Li J.
europepmc   +1 more source

RGB-D SLAM

, 2011
This project has been developed as an implementation of a SLAM technique called GraphSLAM. This technique applies the theory of graphs to create an on-line optimization system that allows robots to map the scenario and locate themselves using a Time of Flight camera as the input source.
openaire   +2 more sources

SlamDunk: Affordable Real-Time RGB-D SLAM

, 2015
We propose an effective, real-time solution to the RGB-D SLAM problem dubbed SlamDunk. Our proposal features a multi-view camera tracking approach based on a dynamic local map of the workspace, enables metric loop closure seamlessly and preserves local consistency by means of relative bundle adjustment principles.
FIORAIO, NICOLA, DI STEFANO, LUIGI
openaire   +2 more sources

QueensCAMP: an RGB-D dataset for robust Visual SLAM

2025 IEEE International Conference on Advanced Robotics (ICAR)
Visual Simultaneous Localization and Mapping (VSLAM) is a fundamental technology for robotics applications. While VSLAM research has achieved significant advancements, its robustness under challenging situations, such as poor lighting, dynamic environments, motion blur, and sensor failures, remains a challenging issue.
Hudson Martins Silva Bruno, Esther Luna Colombini, Sidney N. Givigi   +2 more
openaire   +2 more sources

MAGSLAM: multi-modal adaptive generator-based semantic SLAM for enhanced robustness in dynamic environments

Complex & Intelligent Systems
The increasing deployment of robot navigation and mapping systems in autonomous driving, intelligent manufacturing, and indoor services highlights the growing importance of visual simultaneous localization and mapping (SLAM) technologies.
Lei Zhang, Xiaohan Yu
doaj   +1 more source

SVPLP-SLAM： An RGB-D visual SLAM using point-line-plane feature fusion with supposed plane constraints

四川大学学报. 自然科学版
Traditional RGB-D Visual Simultaneous Localization and Mapping （vSLAM） systems rely predominantly on a single kind of feature or a simplistic combination of features.However， such approaches often fail to achieve optimal accuracy and mapping completeness，
YANG Lei, CHEN Jie, TANG Tianhang, LIU Yiguang   +3 more
doaj  

RGB-D SLAM Using Point-Plane Constraints for Indoor Environments. [PDF]

Sensors (Basel), 2019
Guo R, Peng K, Fan W, Zhai Y, Liu Y.
europepmc   +1 more source

LIG-SLAM: A Lightweight Visual RGB-D SLAM for Indoor Dynamic Environments Leveraging Instance Segmentation and Geometric Information. [PDF]

Sensors (Basel)
Chen X, Wu J, Hou J, Liu X, Sun J.
europepmc   +1 more source