Results 41 to 50 of about 1,569 (165)

EGS-SLAM: RGB-D Gaussian Splatting SLAM With Events

IEEE Robotics and Automation Letters
Gaussian Splatting SLAM (GS-SLAM) offers a notable improvement over traditional SLAM methods, enabling photorealistic 3D reconstruction that conventional approaches often struggle to achieve. However, existing GS-SLAM systems perform poorly under persistent and severe motion blur commonly encountered in real-world scenarios, leading to significantly ...
Siyu Chen 0036, Shenghai Yuan 0001, Thien-Minh Nguyen, Zhuyu Huang, Chenyang Shi, Jing Jin, Lihua Xie 0001   +6 more
openaire   +4 more sources

Advanced systems for intraoperative cartilage evaluation and treatment demonstrate early feasibility and a shift towards integrating artificial intelligence: A scoping review

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose To review the current literature evaluating AI and advanced technologies for intraoperative cartilage management. Methods A comprehensive search of PubMed, Embase, and Scopus was conducted in March 2026 according to PRISMA guidelines.
Logan D. Moews, Samuel A. Alfonsi, Volker Musahl, Michael T. Hirschmann, Brian J. Cole, Jorge Chahla, Kyle N. Kunze   +6 more
wiley   +1 more source

A Survey of Visual SLAM Based on RGB-D Images Using Deep Learning and Comparative Study for VOE

Algorithms
Visual simultaneous localization and mapping (Visual SLAM) based on RGB-D image data includes two main tasks: One is to build an environment map, and the other is to simultaneously track the position and movement of visual odometry estimation (VOE ...
Van-Hung Le, Thi-Ha-Phuong Nguyen
doaj   +1 more source

GauS-SLAM: Dense RGB-D SLAM With Gaussian Surfels

IEEE Robotics and Automation Letters
We propose GauS-SLAM, a dense RGB-D SLAM system that leverages 2D Gaussian surfels to achieve robust tracking and high-fidelity mapping. Our investigations reveal that Gaussian-based scene representations exhibit geometry distortion under novel viewpoints, which significantly degrades the accuracy of Gaussian-based tracking methods.
Yongxin Su, Lin Chen 0042, Kaiting Zhang, Ziping Yu, Chenfeng Hou, Zhongliang Zhao   +5 more
openaire   +2 more sources

Dense RGB-D-inertial SLAM with map deformations

2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017
While dense visual SLAM methods are capable of estimating dense reconstructions of the environment, they suffer from a lack of robustness in their tracking step, especially when the optimisation is poorly initialised. Sparse visual SLAM systems have attained high levels of accuracy and robustness through the inclusion of inertial measurements in a ...
Tristan Laidlow, Michael Bloesch, Wenbin Li 0002, Stefan Leutenegger   +3 more
openaire   +3 more sources

Evaluation of RGB-D SLAM in Large Indoor Environments

, 2022
This is a pre-print of the paper accepted to ICR 2022 ...
Kirill Muravyev, Konstantin Yakovlev
openaire   +2 more sources

Unmanned Aerial Systems for Corrosion Detection: Multi‐Sensor Technologies, Challenges, and Opportunities for Next‐Generation Inspection

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Corrosion remains a critical threat to the integrity and service life of infrastructure in industries such as oil, gas, construction, renewable energy, and transportation. Traditional inspection methods, being labor‐intensive, hazardous, and often subjective, fall short in addressing modern inspection demands.
Alhossein Alharbi, Yunes Alqudsi, Alhasan Ali Alharbi, Mohammed Basheer Mohiuddin   +3 more
wiley   +1 more source

G2P-SLAM: Generalized RGB-D SLAM Framework for Mobile Robots in Low-Dynamic Environments

IEEE Access, 2022
In this paper, we propose a generalized grouping and pruning method for RGB-D SLAM in low-dynamic environments. The conventional grouping and pruning methods successfully reject the effect of dynamic objects in pose graph optimization (PGO).
Seungwon Song, Hyungtae Lim, Sungwook Jung, Hyun Myung   +3 more
doaj   +1 more source

Deep Reinforcement Learning Based Autonomous Decision‐Making for Cooperative Uncrewed Aerial Vehicles: A Search and Rescue Real World Application

Journal of Field Robotics, EarlyView.
ABSTRACT This paper presents the first end‐to‐end framework that combines guidance, navigation, and centralized task allocation for multiple UAVs performing autonomous search‐and‐rescue (SAR) in GNSS‐denied indoor environments. A twin delayed deep deterministic policy gradient controller is trained with an artificial potential field (APF) reward that ...
Thomas Hickling, Maxwell Hogan, Abdulla Tammam, Nabil Aouf   +3 more
wiley   +1 more source

A FREQUENCY-DRIFT COMPENSATED CLOSED-FORM SOLUTION FOR STEREO RGB-D MAPPING [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
In this work, we present a frequency-drift compensated (Fd-C) closed-form solution for stereo RGB-D SLAM. The intrinsic parameters for each sensor are first obtained with a standard camera calibration process and the extrinsic orientation parameters ...
S. J. Tang, S. J. Tang, Q. Zhu, W. Chen, W. X. Wang, Y. Li, W. Darwish, W. B. Li   +7 more
doaj   +1 more source