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 semantic knowledge of relevant dynamic objects, and their processing speed is inversely proportional to the recognition accuracy.To simulta

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Quantum Measurements from a Logical Point of View

We introduce a logic modelling some aspects of the behaviour of the measurement process, in such a way that no direct mention of quantum states is made, thus avoiding the problems verona wig associated to this rather evasive notion.We then study some properties of the models of this logic, and deduce some characteristics that any model (and hence,

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STUDENT LOANS: LESSONS FROM BORROWERS

The study presents the results and the analysis of a survey of recent student loan borrowers.The motovox scooter parts fields of study that result in the highest disbalance between the amount borrowed and the generated earnings are identified.Additionally, the survey results shed light on the post-graduation spending behavior of the borrowers.The r

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