Results 111 to 120 of about 14,413,856 (151)

Comparison and Examination of the Image Feature Extraction Techniques in RGB-D SLAM [PDF]

In the field of computer vision, various feature detectors are proposed and each has the advantages and the faults about processing speed or invariants under various transformations. In RGB-D SLAM, because the camera moves in the three dimensional space,
Kai, Takahiro, 佐々木, 駿, ササキ, シュン, ヨコミチ, マサヒロ, Sasaki, Shun, Yokomichi, Masahiro, 甲斐, 崇浩, 30274773, 13346, 13343, 横道, 政裕, 13344, カイ, タカヒロ, 13347, 6617   +14 more
core  

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

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  

RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting

High-quality reconstruction is crucial for dense SLAM. Recent popular approaches utilize 3D Gaussian Splatting (3D GS) techniques for RGB, depth, and semantic reconstruction of scenes.
Guang, Jinzheng, Zhang, Qianyi, Cao, Zhenzhong, Liu, Yinuo Song Jingtai, Zhao, Chenyang   +4 more
core  

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

SY-SLAM: Real-Time Dynamic Indoor RGB-D SLAM with SuperPoint Detection and Asynchronous YOLOv8s-Based Keypoint Suppression. [PDF]

Sensors (Basel)
Zhi S, Wei S, Zhou S, Lao Y, Zhai M, Yang T, Qu K, Jiang B.   +7 more
europepmc   +1 more source

Enhanced RGB-D SLAM through orthogonal plane constraints and point-line-plane collaborative optimization. [PDF]

PLoS One
Yang G, Liu P, Ma W.
europepmc   +1 more source

Low computational SLAM for an autonomous indoor aerial inspection vehicle [PDF]

The past decade has seen an increase in the capability of small scale Unmanned Aerial Vehicle (UAV) systems, made possible through technological advancements in battery, computing and sensor miniaturisation technology.
Winkvist, Stefan
core  

DIO-SLAM: A Dynamic RGB-D SLAM Method Combining Instance Segmentation and Optical Flow. [PDF]

Sensors (Basel)
He L, Li S, Qiu J, Zhang C.
europepmc   +1 more source

An instance-aware segmentation and optical flow based DVI-SLAM for dynamic environments. [PDF]

Sci Rep
Ashok Y, Rohil MK.
europepmc   +1 more source