Results 41 to 50 of about 154,165 (294)
In this article, we propose a distributed and collaborative monocular simultaneous localization and mapping system for the multi-robot system in large-scale environments, where monocular vision is the only exteroceptive sensor.
Hui Zhang +3 more
doaj +1 more source
Robust Stereo Visual-Inertial Odometry Using Nonlinear Optimization
The fusion of visual and inertial odometry has matured greatly due to the complementarity of the two sensors. However, the use of high-quality sensors and powerful processors in some applications is difficult due to size and cost limitations, and there ...
Shujun Ma +3 more
doaj +1 more source
Estimating the camera trajectories is very important for the performance of visual simultaneous localization and mapping. However, visual simultaneous localization and mapping systems based on RGB image are generally not robust in complex situations such
Yunpeng Sun, Xiaoli Li
doaj +1 more source
Online Spatial Concept and Lexical Acquisition with Simultaneous Localization and Mapping
In this paper, we propose an online learning algorithm based on a Rao-Blackwellized particle filter for spatial concept acquisition and mapping. We have proposed a nonparametric Bayesian spatial concept acquisition model (SpCoA).
Hagiwara, Yoshinobu +3 more
core +1 more source
Fast processing of grid maps using graphical multiprocessors [PDF]
Grid mapping is a very common technique used in mobile robotics to build a continuous 2D representation of the environment useful for navigation purposes.
Hernando Gutiérrez, Miguel +4 more
core +2 more sources
Developmental Disorders in Children Recently Diagnosed With Cancer
ABSTRACT Neurocognitive deficits in adult survivors of childhood cancer are well established, but less is known about developmental disorders (DD) arising shortly after cancer diagnosis. Using 2016–2019 linked Ohio cancer registry and Medicaid data, we compared DD among 324 children with cancer and 606,913 cancer‐free controls.
Jamie Shoag +5 more
wiley +1 more source
Cartographer SLAM Method for Optimization with an Adaptive Multi-Distance Scan Scheduler
This paper presents the use of Google’s simultaneous localization and mapping (SLAM) technique, namely Cartographer, and adaptive multistage distance scheduler (AMDS) to improve the processing speed.
Abdurahman Dwijotomo +4 more
doaj +1 more source
Experimental analysis of sample-based maps for long-term SLAM [PDF]
This paper presents a system for long-term SLAM (simultaneous localization and mapping) by mobile service robots and its experimental evaluation in a real dynamic environment.
Anguelov, D. +13 more
core +2 more sources
ABSTRACT Background The delipid extracorporeal lipoprotein filter from plasma (DELP) treatment can effectively reduce blood lipid, increase blood flow, and improve neurological deficits in patients with acute ischemic stroke (AIS). However, its effect on vision and retinal microcirculation in stroke patients has never been reported.
Ning Li +9 more
wiley +1 more source
Vehicle Localization Using Crowdsourced Data Collected on Urban Roads
Vehicle localization using mounted sensors is an essential technology for various applications, including autonomous vehicles and road mapping. Achieving high positioning accuracy through the fusion of low-cost sensors is a topic of considerable interest.
Soohyun Cho, Woojin Chung
doaj +1 more source

