Results 11 to 20 of about 13,782 (194)

AHY-SLAM: Toward Faster and More Accurate Visual SLAM in Dynamic Scenes Using Homogenized Feature Extraction and Object Detection Method [PDF]

Sensors, 2023
At present, SLAM is widely used in all kinds of dynamic scenes. It is difficult to distinguish dynamic targets in scenes using traditional visual SLAM. In the matching process, dynamic points are incorrectly added to the pose calculation with the camera,
Han Gong, Lei Gong, Tianbing Ma, Zhicheng Sun, Liang Li   +4 more
doaj   +2 more sources

Map construction algorithm based on dense point cloud

IET Image Processing
In order to address the issue of the difficulty in constructing maps from sensor‐acquired point clouds, a map construction algorithm is proposed for the effective conversion from sparse point clouds to dense point clouds.
Chengjie Liu, Xuemei Li, Shangsong Lv, Bin Liu, Min Li   +4 more
doaj   +2 more sources

Comparative Study of a Commercial Tracking Camera and ORB-SLAM2 for Person Localization [PDF]

Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2020
Aiming at localizing persons in industrial sites is a major concern towards the development of the factory of the future. During the last years, developments have been made in several active research domains targeting the localization problem, among which the vision-based Simultaneous Localization and Mapping paradigm.
Ouerghi, Safa, Ragot, Nicolas, Boutteau, Rémi, Savatier, Xavier   +3 more
openaire   +3 more sources

Hardware Implementation of Improved Oriented FAST and Rotated BRIEF-Simultaneous Localization and Mapping Version 2 [PDF]

Sensors
The field of autonomous driving has seen continuous advances, yet achieving higher levels of automation in real-world applications remains challenging. A critical requirement for autonomous navigation is accurate map construction, particularly in novel ...
Ji-Long He, Ying-Hua Chen, Wenny Ramadha Putri, Chung-I. Huang, Ming-Hsiang Su, Kuo-Chen Li, Jian-Hong Wang, Shih-Lun Chen, Yung-Hui Li, Jia-Ching Wang   +9 more
doaj   +2 more sources

ADM-SLAM: Accurate and Fast Dynamic Visual SLAM with Adaptive Feature Point Extraction, Deeplabv3pro, and Multi-View Geometry [PDF]

Sensors
Visual Simultaneous Localization and Mapping (V-SLAM) plays a crucial role in the development of intelligent robotics and autonomous navigation systems. However, it still faces significant challenges in handling highly dynamic environments. The prevalent
Xiaotao Huang, Xingbin Chen, Ning Zhang, Hongjie He, Sang Feng   +4 more
doaj   +2 more sources

ORB-SLAM2 System Enhanced With SiaT-Hough Module on Mars Digital Twin Platform: For Rock Counting and 3D Reconstruction in Martian Environments

IEEE Access
This paper proposes a digital twin platform for Mars environment based on NVIDIA Isaac Sim to create a unique random environment with multi-scale fine-grained terrain features through programmed terrain generation and asset management.
Wei Liu, Gang Wan, Jia Liu, Dianwei Cong
doaj   +2 more sources

Semantic visual simultaneous localization and mapping (SLAM) using deep learning for dynamic scenes [PDF]

PeerJ Computer Science, 2023
Simultaneous localization and mapping (SLAM) is a fundamental problem in robotics and computer vision. It involves the task of a robot or an autonomous system navigating an unknown environment, simultaneously creating a map of the surroundings, and ...
Xiao Ya Zhang, Abdul Hadi Abd Rahman, Faizan Qamar   +2 more
doaj   +3 more sources

Accurate localization of indoor high similarity scenes using visual slam combined with loop closure detection algorithm. [PDF]

PLoS ONE
Accurate localization is a critical technology for the application of intelligent robots and automation systems in complex indoor environments. Traditional visual SLAM (Simultaneous Localization and Mapping) techniques often face challenges with ...
Zhuoheng Xiang, Jiaxi Guo, Jin Meng, Xin Meng, Yan Li, Jonghyuk Kim, Shifeng Wang, Bo Lu, Yu Chen   +8 more
doaj   +2 more sources

YPL-SLAM: A Simultaneous Localization and Mapping Algorithm for Point–line Fusion in Dynamic Environments [PDF]

Sensors
Simultaneous Localization and Mapping (SLAM) is one of the key technologies with which to address the autonomous navigation of mobile robots, utilizing environmental features to determine a robot’s position and create a map of its surroundings. Currently,
Xinwu Du, Chenglin Zhang, Kaihang Gao, Jin Liu, Xiufang Yu, Shusong Wang   +5 more
doaj   +2 more sources

Research on Indoor 3D Semantic Mapping Based on ORB-SLAM2 and Multi-Object Tracking

Applied Sciences
The integration of semantic simultaneous localization and mapping (SLAM) with 3D object detection in indoor scenes is a significant challenge in the field of robot perception.
Wei Wang, Ruoxi Wu, Yan Dong, Huilin Jiang   +3 more
doaj   +2 more sources