Results 21 to 30 of about 56,827 (264)
TSM: Topological Scene Map for Representation in Indoor Environment Understanding
IEEE 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
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Visual SLAM Based on Semantic Segmentation and Geometric Constraints for Dynamic Indoor Environments
IEEE Access, 2022 Simultaneous localization and mapping (SLAM), a core technology of mobile robots and autonomous driving, has received more and more attention in recent years.
Shiqiang Yang +5 more
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Semantic tagging on historical maps [PDF]
Proceedings of the 5th Annual ACM Web Science Conference, 2013 10 ...
Haslhofer, Bernhard +3 more
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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
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Semantic Map Geometry: Two Approaches
Linguistic Discovery, 2010 This paper discusses two ways in which the geometry of a semantic map can be defined: on the basis of a set of cross-linguistic data or on the basis of a semantic analysis of the meanings involved. I will argue that under a purely ?data-driven?
Joost Zwarts
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Meaningful maps with object-oriented semantic mapping [PDF]
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017 For intelligent robots to interact in meaningful ways with their environment, they must understand both the geometric and semantic properties of the scene surrounding them. The majority of research to date has addressed these mapping challenges separately, focusing on either geometric or semantic mapping.
Niko Sünderhauf +4 more
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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
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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
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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
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On two mathematical representations for “semantic maps”
Zeitschrift für Sprachwissenschaft, 2022 We describe two mathematical representations for what have come to be called “semantic maps”, that is, representations of typological universals of linguistic co-expression with the aim of inferring similarity relations between concepts from those ...
Croft William
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