Results 111 to 120 of about 24,069 (274)

FPGA-based ORB Feature Extraction for Real-Time Visual SLAM

, 2017
Simultaneous Localization And Mapping (SLAM) is the problem of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent's location within it.
Fang, Weikang, Liu, Shaoshan, Yu, Bo, Zhang, Yanjun   +3 more
core   +1 more source

Subterranean Mine Inspection Using the Prometheus Re‐Configurable Drone

Journal of Field Robotics, EarlyView.
ABSTRACT This paper describes the design, development, and real‐world testing of an autonomous drone for subterranean exploration, known as “Prometheus.” Driven by requirements from industry that the drone be able to be deployed through areas of restricted access, Prometheus was designed to be directly deployed through a 150 mm aperture.
Liam Brown, Robert Clarke, Ali Akbari, Ferdian Jovan, Jameel Marafie, Ognjen Marjanovic, Sara Bernardini, Tom Richardson, Simon Watson   +8 more
wiley   +1 more source

Panoramic Visual SLAM Technology Based on Spherical Mapping [PDF]

Jisuanji gongcheng
In response to the limited robustness caused by the narrow field-of-view of traditional cameras and the constraints imposed by image distortion in existing panoramic Simultaneous Localization and Mapping (SLAM) algorithms, this study proposes a novel ...
LIU Ye, LIU Xixiang, XU Hao
doaj   +1 more source

Automatic Identification System (AIS) Dynamic Data Integrity Monitoring and Trajectory Tracking Based on the Simultaneous Localization and Mapping (SLAM) Process Model. [PDF]

Sensors (Basel), 2021
Jaskólski K, Marchel Ł, Felski A, Jaskólski M, Specht M.   +4 more
europepmc   +1 more source

Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions

Journal of Field Robotics, EarlyView.
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, Steven Kay, Julia Wajoras, Robert Field, Evridiki V. Ntagiou, Fakher Mohammad, Yang Gao   +6 more
wiley   +1 more source

Autonomous Navigation in Large‐Scale Underground Environments Based on a Purely Topological Understanding of Tunnel Networks

Journal of Field Robotics, EarlyView.
ABSTRACT This work presents a non‐geometrical navigation approach based on a purely topological understanding of underground environments. By conceptualizing subterranean scenarios as a set of tunnels that intersect with each other, and taking a navigation approach based on topological instructions, we simplify the navigation problem to the sequential ...
Lorenzo Cano, Danilo Tardioli, Alejandro R. Mosteo   +2 more
wiley   +1 more source

Performance Bounds for Cooperative Simultaneous Localization and Mapping (C-SLAM)

Robotics: Science and Systems I, 2005
In this Technical Report we study the time evolution of the position estimates’ covariance in Cooperative Simultaneous Localization and Mapping (C-SLAM), and obtain analytical upper boundsfor the positioning uncertainty. The derived bounds provide descriptions of the asymptotic positioning performance of a team of robots in a mapping task, as a ...
Anastasios I. Mourikis, Stergios I. Roumeliotis   +1 more
openaire   +1 more source

Identity Play: Middle School Youths' Provisional Self‐Making in Horizon‐Expanding STEM Spaces

Science Education, EarlyView.
ABSTRACT This study introduces identity play as an analytic construct for science education to explore improvisational dimensions of middle school students' STEM identity development in multiple out‐of‐school learning experiences focused on environmental problem‐solving.
Heidi B. Carlone, Alison K. Mercier
wiley   +1 more source

Visual-LiDAR Localization and Tree Map Building for Autonomous Robot in Unstructured Forests

IEEE Access
This study proposes a Visual-LiDAR (VL) localization and tree trunk mapping method for an autonomous robot in unstructured forests. In unstructured outdoor environments such as forests and orchards, the GPS signal is often unreliable and occluded by ...
Kwanwoo Park, Soon-Yong Park
doaj   +1 more source

Situations in Construction of 3D Mapping for Slam

MATEC Web of Conferences, 2018
Nowadays, the simultaneous localization and mapping (SLAM) approach has become one of the most advanced engineering methods used for mobile robots to build maps in unknown or inaccessible spaces.
Nguyen Hoang Thuy Trang, Shydlouski Stanislav   +1 more
doaj   +1 more source