DGFLOW-SLAM: A NOVEL DYNAMIC ENVIRONMENT RGB-D SLAM WITHOUT PRIOR SEMANTIC KNOWLEDGE BASED ON GRID SEGMENTATION OF SCENE FLOW

DGFlow-SLAM: A Novel Dynamic Environment RGB-D SLAM without Prior Semantic Knowledge Based on Grid Segmentation of Scene Flow

Currently, using semantic segmentation networks to distinguish dynamic and static key points has become a mainstream designing method for semantic SLAM systems.However, the semantic SLAM systems must have prior zupreem feline semantic knowledge of relevant dynamic objects, and their processing speed is inversely proportional to the recognition accu

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MOOC Quality: the need for new measures

MOOCs are re-operationalising traditional concepts in education.While they draw on elements of existing educational and learning models, they represent a new approach to instruction and learning.The challenges MOOCs present to traditional creative grids quick trim and circle ruler education models have important implications for approaching and ass

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Dynamics of Prochlorococcus and Synechococcus at Station ALOHA Revealed through Flow Cytometry and High-Resolution Vertical Sampling

The fluorescence and scattering properties of Prochlorococcus and Synechococcus at Station ALOHA as measured by flow cytometry (termed the FCM phenotype) vary with depth and over a variety of time scales.The variation in FCM phenotypes may reflect population selection or physiological acclimation to local conditions.Observations before, during, and

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