Results 71 to 80 of about 1,569 (165)
A visual and visual‐inertial simultaneous localization and mapping (SLAM) algorithm, leveraging enhanced deep learning features and motion smoothness constraints, is proposed in this research work. This method retains the advantages of geometry‐based SLAM methods while effectively utilizing the powerful representational capabilities of data‐driven ...
Maosheng Jiang +3 more
wiley +1 more source
A Post-Rectification Approach of Depth Images of Kinect v2 for 3D Reconstruction of Indoor Scenes
3D reconstruction of indoor scenes is a hot research topic in computer vision. Reconstructing fast, low-cost, and accurate dense 3D maps of indoor scenes have applications in indoor robot positioning, navigation, and semantic mapping.
Jichao Jiao +4 more
doaj +1 more source
Cave drip rate monitoring in Nova Grgosova Cave reveals three types of drip sites: (1) predominantly constant, (2) seasonally varying and (3) mostly constant with occasional sharp increases. The observational data coupled with one‐dimensional water‐balance model demonstrates that evapotranspiration and soil–epikarst storage, rather than precipitation ...
P. Bajo +6 more
wiley +1 more source
Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions
ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos +6 more
wiley +1 more source
Context Awareness and Human–Robot Interaction Optimization for Museum Intelligent Guide Robot
This study presents a context‐aware human–robot interaction framework designed for intelligent museum guide robots. The system features a three‐layer architecture—perception, understanding, and behavior execution—that enables adaptive and meaningful interactions with museum visitors.
Anna Zou, Yue Meng, Shijing Tong
wiley +1 more source
Application of LiDAR and SLAM Technologies in Autonomous Systems for Precision Grapevine Pruning and Harvesting [PDF]
Integrating autonomous systems into precision agriculture brings new integrated management in vineyards for operational efficiency and accuracy. This project creates an autonomous system for grapevine pruning and harvesting using LiDAR, SLAM, RGB-D ...
Obaid Saif +2 more
doaj +1 more source
SR-SLAM: Scene reliability-based RGB-D SLAM in diverse environments
submitted
Haolan Zhang +4 more
openaire +2 more sources
Reliable autonomous perception is essential for indoor service machines operating in human-centered environments, where weak textures, repetitive structures, and frequent dynamic interference often degrade localization stability.
Zhiyu Wang, Weili Ding, Wenna Wang
doaj +1 more source
In recent years, low-cost and lightweight RGB and depth (RGB-D) sensors, such as Microsoft Kinect, have made available rich image and depth data, making them very popular in the field of simultaneous localization and mapping (SLAM), which has been ...
Xujie Kang +3 more
doaj +1 more source
A Method for Reconstructing Background from RGB-D SLAM in Indoor Dynamic Environments. [PDF]
Lu Q, Pan Y, Hu L, He J.
europepmc +1 more source

