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Sparse 3D point-cloud map upsampling and noise removal as a vSLAM post-processing step: Experimental evaluation-processing techniques applied to sparse 3D point-cloud maps, obtained by feature-based vSLAM algorithms. Map post
МОНИТОРИНГ СОСТОЯНИЯ РАСТИТЕЛЬНОСТИ ТЕРРИТОРИИ БЛИЗ НОРИЛЬСКОГО ТЭЦ-3: АНАЛИЗ NDVI-August with minimal cloudiness were taken as a basis. An analysis of satellite images, histograms and maps compiled
Semi-direct RGB-D slam algorithm for mobile robot In dynamic indoor environments, a semi-direct RGB-D visual SLAM (Simultaneous Localization and Mapping) algorithm based on motion
Comparative analysis of ROS-based monocular SLAM methods for indoor navigation created empty spaces in a reconstructed sparse 3D scene. This may cause collisions of an autonomously
A new species of the genus Orsodacne Latreille, 1802 (Coleoptera: Orsodacnidae) from Iraqi Kurdistan with very sparse semierect setae and the armament of the endophallus. A distribution map for new species
Comparative analysis of ROS-based monocular SLAM methods for indoor navigation created empty spaces in a reconstructed sparse 3D scene. This may cause collisions of an autonomously
Improving Spatial Resolution of First-order Ambisonics Using Sparse MDCT Representation planewave expansion (HARPEX) and directional audio coding (DirAC) taking advantage of real valued sparse
Crowd Attention Estimation Automatisation Based on Semi-Automatic Image Semantic Segmentation by Using UNet and CRF Networks management, surveillance, and urban planning. In this paper,
we propose an approach for dense and sparse
Spectrum Hole Prediction in Cognitive Radio Systems by LSTM Neural Networks environment maps (REM) data LTE-based cognitive communication system. REM is a spatiotemporal database of all
Methods for identifying clusters of cells in sparse data cubes of multidimensional information systems cubes with sparseness. It complicates the data storage organization and creates difficulties
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