Results 251 to 260 of about 2,238,929 (282)

Visual SLAM Technology Review

2025 5th International Conference on Mechanical Automation and Electronic Information Engineering (MAEIE)
Visual Simultaneous Localization and Mapping (SLAM) technology has progressively overcome bottlenecks such as dynamic environment perception, computational constraints, and semantic understanding through multi-sensor fusion and algorithmic innovations ...
Qunkai Niu
semanticscholar   +1 more source

BASL-AD SLAM: A Robust Deep-Learning Feature-Based Visual SLAM System With Adaptive Motion Model

IEEE transactions on intelligent transportation systems (Print)
Visual Simultaneous Localization and Mapping (VSLAM) plays an important role in advanced driver assistance systems and autonomous driving. Feature-based VSLAM generates very promising and visually pleasant results due to its robustness and localization ...
Junyu Han, Ruifang Dong, Jiangming Kan
semanticscholar   +1 more source

Towards semantic visual SLAM

2014 13th International Conference on Control Automation Robotics & Vision (ICARCV), 2014
Visual Simultaneous Localisation and Mapping is the process whereby a camera builds a map of a previously unseen environment, and localises itself with respect to that environment, often in real-time. Although there has been remarkable progress, and it is now possible, for example, to build dense maps in real-time using high-end commodity hardware ...
openaire   +1 more source

Compact 3D Gaussian Splatting For Dense Visual SLAM

arXiv.org
Recent work has shown that 3D Gaussian-based SLAM enables high-quality reconstruction, accurate pose estimation, and real-time rendering of scenes. However, these approaches are built on a tremendous number of redundant 3D Gaussian ellipsoids, leading to
Tianchen Deng, Yaohui Chen, Leyan Zhang, Jianfei Yang, Shenghai Yuan, Danwei Wang, Weidong Chen   +6 more
semanticscholar   +1 more source

Panoptic-SLAM: Visual SLAM in Dynamic Environments using Panoptic Segmentation

2024 21st International Conference on Ubiquitous Robots (UR)
The majority of visual SLAM systems are not robust in dynamic scenarios. The ones that deal with dynamic objects in the scenes usually rely on deep-learning-based methods to detect and filter these objects. However, these methods cannot deal with unknown
G. Abati, João Carlos Virgolino Soares, V. S. Medeiros, M. Meggiolaro, C. Semini   +4 more
semanticscholar   +1 more source

Visual SLAM for Handheld Monocular Endoscope

IEEE Transactions on Medical Imaging, 2014
Simultaneous localization and mapping (SLAM) methods provide real-time estimation of 3-D models from the sole input of a handheld camera, routinely in mobile robotics scenarios. Medical endoscopic sequences mimic a robotic scenario in which a handheld camera (monocular endoscope) moves along an unknown trajectory while observing an unknown cavity ...
Óscar G, Grasa, Ernesto, Bernal, Santiago, Casado, Ismael, Gil, J M M, Montiel   +4 more
openaire   +2 more sources

AQUA-SLAM: Tightly Coupled Underwater Acoustic-Visual-Inertial SLAM With Sensor Calibration

IEEE Transactions on robotics
Underwater environments pose significant challenges for visual simultaneous localization and mapping (SLAM) systems due to limited visibility, inadequate illumination, and sporadic loss of structural features in images.
S. Xu, Kaicheng Zhang, Sen Wang
semanticscholar   +1 more source

Saliency-SLAM: saliency prediction for visual SLAM

IET Conference Proceedings, 2023
S. Jin, Q. Meng
openaire   +1 more source

Review of visual SLAM

Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 2022
Xieping Gong, Lizhong Song, Yang Yin
openaire   +1 more source

Visual SLAM

2021
openaire   +1 more source