Results 31 to 40 of about 375,937 (284)
Automated Map Reading: Image Based Localisation in 2-D Maps Using Binary Semantic Descriptors [PDF]
, 2018 We describe a novel approach to image based localisation in urban environments using semantic matching between images and a 2-D map. It contrasts with the vast majority of existing approaches which use image to image database matching.
Calway, Andrew +1 more
core +3 more sources
AI Technologies for Machine Supervision and Help in a Rehabilitation Scenario
Multimodal Technologies and Interaction, 2022 We consider, evaluate, and develop methods for home rehabilitation scenarios. We show the required modules for this scenario. Due to the large number of modules, the framework falls into the category of Composite AI. Our work is based on collected videos
Gábor Baranyi +9 more
doaj +1 more source
, 2021 We address the problem of semantic nighttime image segmentation and improve the state-of-the-art, by adapting daytime models to nighttime without using nighttime annotations.
Dai, Dengxin +2 more
core +2 more sources
NaviCell: a web-based environment for navigation, curation and maintenance of large molecular interaction maps [PDF]
, 2013 Molecular biology knowledge can be systematically represented in a computer-readable form as a comprehensive map of molecular interactions. There exist a number of maps of molecular interactions containing detailed description of various cell mechanisms.
Barillot, Emmanuel +6 more
core +5 more sources
S-AVE Semantic Active Vision Exploration and Mapping of Indoor Environments for Mobile Robots [PDF]
, 2020 Semantic mapping is fundamental to enable cognition and high-level planning in robotics. It is a difficult task due to generalization to different scenarios and sensory data types.
CAPOBIANCO, ROBERTO +3 more
core
Toward the automation of business process ontology generation [PDF]
, 2014 Semantic Business Process Management (SBPM) utilises semantic technologies (e.g., ontology) to model and query process representations. There are times in which such models must be reconstructed from existing textual documentation.
De Cesare, S, Juric, D, Lycett, M
core +1 more source
Indoor 3D Semantic Robot VSLAM Based on Mask Regional Convolutional Neural Network
IEEE Access, 2020 During the construction of indoor environmental semantic maps by robot Vision SLAM (VSLAM), there exist some problems such as low label classification accuracy and low precision under the situation of sparse feature points.
Chongben Tao +4 more
doaj +1 more source
Principal semantic components of language and the measurement of meaning. [PDF]
PLoS 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
Semantic tagging on historical maps [PDF]
Proceedings of the 5th Annual ACM Web Science Conference, 2013 10 ...
Haslhofer, Bernhard +3 more
openaire +2 more sources
A Semantic Information-Based Optimized vSLAM in Indoor Dynamic Environments
Applied 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