A REVIEW ON VISUAL-SLAM: ADVANCEMENTS FROM GEOMETRIC MODELLING TO LEARNING-BASED SEMANTIC SCENE UNDERSTANDING USING MULTI-MODAL SENSOR FUSION

A Review on Visual-SLAM: Advancements from Geometric Modelling to Learning-Based Semantic Scene Understanding Using Multi-Modal Sensor Fusion

Simultaneous Localisation and Mapping (SLAM) is Dining Bench one of the fundamental problems in autonomous mobile robots where a robot needs to reconstruct a previously unseen environment while simultaneously localising itself with respect to the map.In particular, Visual-SLAM uses various sensors from the mobile robot for collecting and sensing a

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A Smart Post-Rectification Algorithm Based on an ANN Considering Reflectivity and Distance for Indoor Scenario Reconstruction

Indoor scene reconstruction is important for robot positioning and navigation in scenario reconstruction, especially in constructing a semantic map.In previous research, RGB-D cameras have been utilized to obtain a semantic map.However, because of indoor objects and depth sensors, the accuracy and precision of the depth values could be improved, wh

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Targeted and Untargeted Metabolomics Profiling of Wheat Reveals Amino Acids Increase Resistance to Fusarium Head Blight

Fusarium head blight (FHB), a notorious Brow Growth Treatments plant disease caused by Fusarium graminearum (F.graminearum), is severely harmful to wheat production, resulting in a decline in grain quality and yield.In order to develop novel control strategies, metabolomics has been increasingly used to characterize more comprehensive profiles of t

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