Esta es nuestra última selección de publicaciones mundiales y patentes en inglés sobre SLAM 3D, entre muchas revistas científicas en línea, clasificadas y centradas en SLAM, LiDAR, nube de puntos, correspondencia de escaneados, extracción de características, cierre de bucles, localización simultánea, localización y cartografía, odometría, filtro de Kalman, detección de objetos, punto más cercano iterativo, cuadrícula de voxel y reconstrucción 3D.
A Dual-Enhanced Hierarchical Alignment Framework for Multimodal Named Entity Recognition
Published on 2025-05-27 by Jian Wang, Yanan Zhou, Qi He, Wenbo Zhang @MDPI
Abstract: Multimodal amed entity recognition (MNER) is a natural language-processing technique that integrates text and visual modalities to detect and segment entity boundaries and their types from unstructured multimodal data. Although existing methods alleviate semantic deficiencies by optimizing image and text feature extraction and fusion, a fundamental challenge remains due to the lack of fine-grained alignment caused by cross-modal semantic deviations and image noise interference. To address these [...]
Our summary: A DEHA framework enhances multimodal named entity recognition by improving alignment precision and reducing image noise, achieving high F1 scores on Twitter datasets.
multimodal, named entity recognition, alignment, framework
Publication
Autonomous Agricultural Robot Using YOLOv8 and ByteTrack for Weed Detection and Destruction
Published on 2025-03-07 by Ardin Bajraktari, Hayrettin Toylan @MDPI
Abstract: Automating agricultural machinery presents a significant opportunity to lower costs and enhance efficiency in both current and future field operations. The detection and destruction of weeds in agricultural areas via robots can be given as an example of this process. Deep learning algorithms can accurately detect weeds in agricultural fields. Additionally, robotic systems can effectively eliminate these weeds. However, the high computational demands of deep learning-based weed detection algorith[...]
Our summary: Autonomous agricultural robot using YOLOv8 and ByteTrack for real-time weed detection and destruction, leveraging deep learning algorithms to enhance efficiency in agricultural practices.
Autonomous Agricultural Robot, YOLOv8, ByteTrack, Weed Detection
Publication
A Novel Bearing Fault Diagnosis Method Based on Improved Convolutional Neural Network and Multi-Sensor Fusion
Published on 2025-03-07 by Zhongyao Wang, Xiao Xu, Dongli Song, Zejun Zheng, Weidong Li @MDPI
Abstract: Bearings are key components of modern mechanical equipment. To address the issue that the limited information contained in the single-source signal of the bearing leads to the limited accuracy of the single-source fault diagnosis method, a multi-sensor fusion fault diagnosis method is proposed to improve the reliability of bearing fault diagnosis. Firstly, the feature extraction process of the convolutional neural network (CNN) is improved based on the theory of variational Bayesian inference, w[...]
Our summary: A novel fault diagnosis method for bearings combines CNN and multi-sensor fusion, achieving over 99% accuracy and high stability.
Convolutional Neural Network, Multi-Sensor Fusion, Bearing Fault Diagnosis, Variational Bayesian Inference
Publication
Virtual and Real Occlusion Processing Method of Monocular Visual Assembly Scene Based on ORB-SLAM3
Published on 2025-03-06 by Hanzhong Xu, Chunping Chen, Qingqing Yin, Chao Ma, Feiyan Guo @MDPI
Abstract: Addressing the challenge of acquiring depth information in aero-engine assembly scenes using monocular vision, which complicates mixed reality (MR) virtual and real occlusion processing, we propose an ORB-SLAM3-based monocular vision assembly scene virtual and real occlusion processing method. The method proposes optimizing ORB-SLAM3 for matching and depth point reconstruction using the MNSTF algorithm. MNSTF can solve the problems of feature point extraction and matching in weakly textured and [...]
Our summary: Virtual and real occlusion processing method based on ORB-SLAM3 optimized with MNSTF algorithm for monocular vision assembly scenes, improving accuracy and real-time performance.
ORB-SLAM3, Monocular Vision, MNSTF, Mixed Reality
Publication
Point cloud data transmission device, point cloud data transmission method, point cloud data reception device, and point cloud data reception method
Patent published on the 2025-03-06 in WO under Ref WO2025048473 by LG ELECTRONICS INC [KR] (Lee Jinwon [kr], Suh Jongyeul [kr], Park Hanje [kr])
Abstract: A mesh data decoding method, according to embodiments, may comprise the steps of: receiving a bitstream including mesh data; and decoding the mesh data. A mesh data encoding method, according to embodiments, may comprise the steps of: encoding mesh data; and transmitting a bitstream including the mesh data.[...]
Our summary: Methods for transmitting and receiving point cloud data, as well as encoding and decoding mesh data, are described in embodiments.
point cloud data transmission, point cloud data reception, mesh data decoding, mesh data encoding
Patent
On-chip lidar switching failure monitoring
Patent published on the 2025-03-06 in WO under Ref WO2025049882 by VOYANT PHOTONICS INC [US] (Tzuang Lawrence [us], Miller Steven [us])
Abstract: Disclosed are systems for monitoring on-chip LiDAR switching failure. A reduced number of power monitors are implemented between the switch fabric and transmit / receive pixels to capture the scan pattern thereby determining an operational status of the switches of the switch fabric.[...]
Our summary: Systems for monitoring on-chip LiDAR switching failure, reduced number of power monitors implemented, capture scan pattern to determine operational status.
on-chip lidar, switching failure monitoring, power monitors, switch fabric
Patent
Systems and methods for interactive viewing of three-dimensional content using anatomical tracking
Patent published on the 2025-03-06 in WO under Ref WO2025049989 by D3LABS INC [US] (Spencer Barry [us], Spencer Julian George [us], Egenberger Jeremy [us])
Abstract: Interactive viewing of three-dimensional content includes producing anatomical tracking data representative of the movement of an anatomical feature of a user, rendering of three-dimensional target content and manipulation of the target content in response to the anatomical tracking data such that the user perceives his self or her self to be changing location with respect to a scene or object or perceives being tracked by a virtual character. A system of interactive viewing includes a point clo[...]
Our summary: Systems and methods for interactive viewing of three-dimensional content using anatomical tracking, including producing anatomical tracking data, rendering target content, and manipulating content based on tracking data for immersive user experience.
anatomical tracking, three-dimensional content, interactive viewing, point cloud capture
Patent
Lidar sensor denoising for adverse conditions and/or nonsalient objects
Patent published on the 2025-03-06 in WO under Ref WO2025049190 by ZOOX INC [US] (Terefe Nehemia [us])
Abstract: Particulate matter, such as fog, snow, rain, steam, vehicle exhaust, debris (plastic bags), etc. may cause one or more sensor types to generate false positive solid surface detections. In particular, various depth measurements may be impeded by particulate matter. Identifying false positive return(s) may comprise clustering lidar points, determining differences in range indicated by two different lidar devices having lidar points in the cluster, determining first differences that are more negati[...]
Our summary: Lidar sensor denoising for adverse conditions and/or nonsalient objects by identifying and suppressing false positive solid surface detections caused by particulate matter such as fog, snow, rain, and debris.
lidar sensor, denoising, adverse conditions, false positive
Patent
