DENSE RGB-D SEMANTIC MAPPING WITH PIXEL-VOXEL NEURAL NETWORK

Dense RGB-D Semantic Mapping with Pixel-Voxel Neural Network

In this paper, a novel Pixel-Voxel network is proposed for dense 3D semantic mapping, which can perform dense 3D mapping while simultaneously recognizing and labelling the semantic category each point in the 3D map.In our approach, we fully leverage the advantages of different modalities.That is, the Shorts PixelNet can learn the high-level context

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An Adaptive Frequency Strategy for Variable Speed Wind Turbines: Application to High Wind Integration Into Power Systems

This paper presents a new frequency controller for variable speed wind Clutch turbines connected to the grid under power imbalance conditions.It is based on the fast power reserve emulation technique, having two different operation modes: overproduction and recovery mode.In the first mode, the active power provided by wind turbines is set over the

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