Results 71 to 80 of about 14,413,856 (151)
UDGS-SLAM: UniDepth Assisted Gaussian Splatting for Monocular SLAM
Recent advancements in monocular neural depth estimation, particularly those achieved by the UniDepth network, have prompted the investigation of integrating UniDepth within a Gaussian splatting framework for monocular SLAM. This study presents UDGS-SLAM,
Mostafa Mansour +4 more
doaj +1 more source
Point-Plane SLAM Using Supposed Planes for Indoor Environments
Simultaneous localization and mapping (SLAM) is a fundamental problem for various applications. For indoor environments, planes are predominant features that are less affected by measurement noise.
Xiaoyu Zhang +4 more
doaj +1 more source
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 +6 more
wiley +1 more source
RGB-D Indoor Location and Map Building Based on Inliers Tracking Statistics [PDF]
The front pose estimation and back-end optimization of indoor mobile robot Simultaneous Localization and Mapping (SLAM) are susceptible to motion blur.To solve this problem,an indoor location and map building algorithm based on Inliers tracking ...
NIU Xiaoning,LIU Hongzhe,YUAN Jiazheng,XUAN Hanyu
doaj +1 more source
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 +3 more
wiley +1 more source
Fast depth edge detection and edge based RGB-D SLAM [PDF]
This paper presents a method of occluding depth edge-detection targeted towards RGB-D video streams and explores the use of these and other edge features in RGB-D SLAM.
Laurie Bose +3 more
core +1 more source
SAR-SLAM: Semantic-Aware Recognition for Dynamic SLAM in Robotic Applications
Simultaneous Localization and Mapping (SLAM) is essential for autonomous systems navigating in human-centric environments, yet conventional systems fail when people and objects move through the scene.
Basheer Al-Tawil +3 more
doaj +1 more source
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 +3 more
wiley +1 more source
ABSTRACT Grass mowing is one of the most resource‐consuming activities in green maintenance, whether in private areas such as home gardens or in public spaces like urban parks. In recent years, concerns related to climate change, human health, and sustainability have become increasingly prominent in green maintenance, leading manufacturers and industry
Andrea Palladini +3 more
wiley +1 more source
Fusion of Dual RGB-D Sensors for Mobile Robot SLAM
移动机器人在执行给定的任务时,需要通过传感器获取环境信息,从而构建地图、定位并在环境中自主运动。RGB-D传感器能够以较低的成本提供环境的色彩与深度信息,得到了广泛的应用,但是其存在视野受限的问题。为此,本文提出了一种面向移动机器人SLAM的双RGB-D传感器数据融合方法,对双RGB-D传感器的数据流进行同步处理,实时构建环境点云地图,并融合多视角RGB信息在线构建全景图。然后,将这一方法应用于室内环境下移动机器人SLAM与运动控制任务。实验表明,本文的双RGB ...
徐昌, 王石荣, 于宁波
core

