UW DEEP SLAM-CNN ASSISTED UNDERWATER SLAM

UW Deep SLAM-CNN Assisted Underwater SLAM

Underwater simultaneous localization and mapping (SLAM) poses significant challenges for modern visual SLAM systems.The integration of deep learning networks within computer vision offers promising potential for addressing these difficulties.Our research draws inspiration from deep learning approaches applied to interest point detection and matchin

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Topological optimization of structures with thermomechanical loading under compliance constraints for 3D printing applications

Currently, due to the high costs of production and expensive raw materials, approaches, including, making models smaller and lighter, are especially considered in the design of structures.In order to better describe the capabilities, efficiency, and limitations of an innovative field called topology optimization, various practical problems under di

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Dynamics of Gear Shifting Processes of Dual-Clutch Automatic Transmissions in Integrated Powertrains of Battery Electric Vehicles

In connection with the beginning transition of mass-produced battery electric vehicle (BEV) powertrains from single-gear gearboxes to specially configured automatic transmissions (AT), the number of publications devoted to justification and research of their architecture, as well as optimization of applied design solutions, is rapidly increasing.A

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