This article is devoted to the description of network architecture of the developed cloud SaaS service for the implementation of the comprehensive study of physical and chemical processes. The main methods and mathema...
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Management of transportation processes is directly carried out by means of a system approach to them, which, in turn, is related to their classification properties. The field of transportation research is associated w...
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This paper addresses integrated design of engineering systems, where physical structure of the plant and controller design are optimized simultaneously. To cope with uncertainties due to noises acting on the dynamics ...
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The problem of forming standards and procedures for calculating indicators of the functioning of complexsystems in conditions of uncertainty is solved. The methodology is based on the methodology of Bayesian intellig...
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The goal of this paper is to strike a feasible tracking paradigm that can make 3D human trackers applicable on robot platforms and enable more high-level tasks. Till now, two fundamental problems haven't been adeq...
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ISBN:
(纸本)9798350377712;9798350377705
The goal of this paper is to strike a feasible tracking paradigm that can make 3D human trackers applicable on robot platforms and enable more high-level tasks. Till now, two fundamental problems haven't been adequately addressed. One is the computational cost lightweight enough for robotic deployment, and the other is the easily-influenced accuracy varied greatly in complex real environments. In this paper, a robotic-centric tracking paradigm called MATNet is proposed that directly matches the LiDAR point clouds and RGB videos through end-to-end learning. To improve the low accuracy of human tracking against disturbance, a coarse-to-fine Transformer along with target-ware augmentation is proposed by fusing RGB videos and point clouds through a pyramid encoding and decoding strategy. To better meet the real-time requirement of actual robot deployment, we introduce the parameter-efficient adaptation tuning that greatly shortens the model's training time. Furthermore, we also propose a five-step Anti-shake Refinement strategy and have added human prior values to overcome the strong shaking on the robot platform. Extensive experiments confirm that MATNet significantly outperforms the previous state-of-the-art on both open-source datasets and large-scale robotic datasets.
control of haptic systems with complex and unstructured environments like the endonasal sinus region, which is used in surgical simulators, puts fundamental challenges forward. This study proposes a robust adaptive sl...
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The article discusses an approach that combines expert systems and dynamic models in an intellectualized operator information support system (IOISS) for nuclear power plant units. The main goal of this approach is to ...
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The widespread deployment of Unmanned Surface Vehicles (USVs) in military reconnaissance and oceanic exploration has underscored the need for sophisticated modeling and simulation technologies. Current studies primari...
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Various methods are used to analyze closed systems with park transformations and dynamic links in rotating and stationary coordinate systems. Numerical methods in various mathematical modeling programs are mainly used...
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Practice and research indicate that many IT projects encounter problems. It is a complex world where we see (massive) budget overruns, major issues with meeting schedules and deliveries that do not meet the recipients...
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