Results 21 to 30 of about 2,820,171 (259)

NGLSFusion: Non-Use GPU Lightweight Indoor Semantic SLAM

open access: yesApplied Sciences, 2023
Perception of the indoor environment is the basis of mobile robot localization, navigation, and path planning, and it is particularly important to construct semantic maps in real time using minimal resources. The existing methods are too dependent on the
Le Wan   +5 more
doaj   +1 more source

TSM: Topological Scene Map for Representation in Indoor Environment Understanding

open access: yesIEEE Access, 2020
In the field of robotics, it is crucial to obtain a comprehensive semantic understanding of a scene for many applications. Based on the behavioral topological map and scene graph, we propose to employ a semantic map named Topological Scene Map (TSM) for ...
Zhiyong Liao   +3 more
doaj   +1 more source

Principal semantic components of language and the measurement of meaning. [PDF]

open access: yesPLoS ONE, 2010
Metric systems for semantics, or semantic cognitive maps, are allocations of words or other representations in a metric space based on their meaning. Existing methods for semantic mapping, such as Latent Semantic Analysis and Latent Dirichlet Allocation,
Alexei V Samsonovich, Giorgio A Ascoli
doaj   +1 more source

Extracting Semantic Information from Visual Data: A Survey

open access: yesRobotics, 2016
The traditional environment maps built by mobile robots include both metric ones and topological ones. These maps are navigation-oriented and not adequate for service robots to interact with or serve human users who normally rely on the conceptual ...
Qiang Liu   +3 more
doaj   +1 more source

Semantic RGB-D SLAM for Rescue Robot Navigation

open access: yesIEEE Access, 2020
In this paper, we propose a semantic simultaneous localization and mapping (SLAM) framework for rescue robots, and report its use in navigation tasks.
Wenbang Deng   +6 more
doaj   +1 more source

A Semantic Information-Based Optimized vSLAM in Indoor Dynamic Environments

open access: yesApplied Sciences, 2023
In unknown environments, mobile robots can use visual-based Simultaneous Localization and Mapping (vSLAM) to complete positioning tasks while building sparse feature maps and dense maps.
Shuangfeng Wei   +5 more
doaj   +1 more source

Semantic-Aware Remote Sensing Change Detection with Multi-Scale Cross-Attention

open access: yesSensors
Remote sensing image change detection plays a vital role in diverse real-world applications such as urban development monitoring, disaster assessment, and land use analysis.
Xingjian Zheng   +3 more
doaj   +1 more source

Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi   +8 more
wiley   +1 more source

Newark map 1915

open access: yes, 1915
Map encompasses Newark, Harrison, Kearney, Irvington and East Newark. Ward numbers and boundries are shown in red.

core   +1 more source

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio   +8 more
wiley   +1 more source

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