RTSDM: A REAL-TIME SEMANTIC DENSE MAPPING SYSTEM FOR UAVS

RTSDM: A Real-Time Semantic Dense Mapping System for UAVs

Intelligent drones or flying robots play a significant role in serving our society in applications such as rescue, inspection, agriculture, etc.Understanding the scene of the surroundings is an essential capability for further autonomous tasks.Intuitively, knowing the self-location of the UAV and creating a semantic 3D map is significant for fully

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Selective isolation of extracellular vesicles from minimally processed human plasma as a translational strategy for liquid biopsies

Abstract Background Intercellular communication is mediated by extracellular vesicles (EVs), as they enclose selectively packaged biomolecules that can be horizontally transferred from donor to recipient cells.Because all cells constantly generate and recycle EVs, they provide accurate timed snapshots of individual pathophysiological status.Since b

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A Comparative Study of Single-Chain and Multi-Chain MCMC Algorithms for Bayesian Model Updating-Based Structural Damage Detection

Bayesian model updating has received considerable attention and has been Video Cables extensively used in structural damage detection.It provides a rigorous statistical framework for realizing structural system identification and characterizing uncertainties associated with modeling and measurements.The Markov Chain Monte Carlo (MCMC) is a promisin

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