Results 111 to 120 of about 20,695 (309)
Simultaneous localization and sampled environment mapping
, 2009 Simultaneous localization and map building is a key issue to ensure the mobile robot move in an unknown environment autonomously. A hot topic of SLAM is how to build a map describing the complex environment. This paper presents a new SLAM algorithm using
Ma SG(马书根) +11 more
core +1 more source
Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.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
VA-LOAM: Visual Assist LiDAR Odometry and Mapping for Accurate Autonomous Navigation
SensorsIn this study, we enhanced odometry performance by integrating vision sensors with LiDAR sensors, which exhibit contrasting characteristics. Vision sensors provide extensive environmental information but are limited in precise distance measurement ...
Tae-Ki Jung, Gyu-In Jee
doaj +1 more source
Robotics, 2018 Visual-inertial simultaneous localization and mapping (VI-SLAM) is popular research topic in robotics. Because of its advantages in terms of robustness, VI-SLAM enjoys wide applications in the field of localization and mapping, including in mobile ...
Chang Chen +3 more
doaj +1 more source
Simultaneous 2D Localization and 3D Mapping on a mobile Robot with Time-of-Flight Sensors
, 2013 The problem of building consistent maps of unknown environments is one greatest importance within the mobile robot community. Since the first successful attempts, the variety of solutions has grown larger.
Eck, Maximilian
core
Refining techniques for high‐frequency monitoring of chlorophyll a fluorescence in estuarine systems
Limnology and Oceanography: Methods, EarlyView.Abstract Concentrations of the photosynthetic pigment chlorophyll a are commonly used as a proxy for phytoplankton biomass in aquatic systems. Traditional methods for extracting chlorophyll a in discrete samples limit measurement frequency, while in situ sensor technology provides high frequency chlorophyll a fluorescence measurements at a more ...
Nicole Dix +10 more
wiley +1 more source
EXTENDED KALMAN FILTER BASED AIRBORNE SIMULTANEOUS LOCALIZATION AND MAPPING
Havacılık ve Uzay Teknolojileri Dergisi, 2013 UAVs are expected to perform all or part of its mission as autonomous in accordance with predefined at the manufacture objectives and prerequest of safe autonomous navigation is to detect the UAV location precisely.
Abdullah Ersan Oğuz, Hakan Temeltaş
doaj
J. Field Robotics, 2018 Robotic collaboration promises increased robustness and efficiency of missions with great potential in applications, such as search‐and‐rescue and agriculture.
Patrik Schmuck, M. Chli
semanticscholar +1 more source
Systemic bio‐inequity links poverty to biodiversity and induces a conservation paradox
People and Nature, EarlyView.Abstract Biodiversity is declining globally while inequity is growing, and poverty rates are not improving. Global sustainable development and conservation initiatives aim to address biodiversity loss and poverty simultaneously. Through text analysis of global biodiversity policies, we identified a consistent narrative that countries with high ...
Conor Waldock +4 more
wiley +1 more source
Accurate Visual Simultaneous Localization and Mapping (SLAM) against Around View Monitor (AVM) Distortion Error Using Weighted Generalized Iterative Closest Point (GICP). [PDF]
Sensors (Basel), 2023 Lee Y, Kim M, Ahn J, Park J.
europepmc +1 more source