Results 31 to 40 of about 374,244 (266)

Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation

open access: yes, 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

A diachronic semantic map of the Optative negative in Beja (North-Cushitic)

open access: yesZeitschrift für Sprachwissenschaft, 2022
The Optative negative of Beja is a multifunctional paradigm which encodes optative, hortative and jussive grammatical meanings, depending on the person, as well as participant-internal and participant-external modalities of impossibility and unnecessity.
Vanhove Martine
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

S-AVE Semantic Active Vision Exploration and Mapping of Indoor Environments for Mobile Robots [PDF]

open access: yes, 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]

open access: yes, 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

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

On two mathematical representations for “semantic maps”

open access: yesZeitschrift 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
doaj   +1 more source

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

Learning Models for Following Natural Language Directions in Unknown Environments [PDF]

open access: yes, 2015
Natural language offers an intuitive and flexible means for humans to communicate with the robots that we will increasingly work alongside in our homes and workplaces.
Duvallet, Felix   +5 more
core   +2 more sources

Semantic tagging on historical maps [PDF]

open access: yesProceedings of the 5th Annual ACM Web Science Conference, 2013
10 ...
Haslhofer, Bernhard   +3 more
openaire   +2 more sources

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