With the rapid development of unmanned vehicle technology, unmanned vehicle plays an increasingly important role in related fields, which is of great significance to the future development of intelligent transportatio...
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ISBN:
(纸本)9789819722747;9789819722754
With the rapid development of unmanned vehicle technology, unmanned vehicle plays an increasingly important role in related fields, which is of great significance to the future development of intelligent transportation. In order to break through the bottleneck of the intelligent degree of existing unmanned vehicles, unmanned vehicle driving technology based on knowledge graph has become one of the development trends. Firstly, this paper gives a brief overview of the decision-making process of unmanned vehicles, and introduces the basic principles and related concepts of unmanned vehicle technology based on knowledge graph. Then the application of knowledge graph in intelligent decision-making of unmanned vehicle is introduced, including target recognition, semantic segmentation, target trajectory prediction and scene understanding. Then an automatic driving decision system based on knowledge graph is proposed. Finally, the future development of intelligent decision-making of unmanned vehicles based on knowledge graph is prospected, and various possibilities of its future development are discussed.
The utilization of unmanned aerial vehicle (UAV) intelligent vision technology for intelligent analysis and early warning during armed police patrol and duty tasks has become imperative. This paper offers a thorough r...
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Traditional virtual and real robot drive systems use management methods, but due to the impact of the production environment, the system’s command response speed is slow, which affects the control effect. To address ...
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This paper presents a novel augmented reality (AR)-assisted orthopedic surgical robotic system based on Head-Mounted Display (HMD) devices. The proposed system can overlay the preoperative plans over the patient's...
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ISBN:
(纸本)9781665491907
This paper presents a novel augmented reality (AR)-assisted orthopedic surgical robotic system based on Head-Mounted Display (HMD) devices. The proposed system can overlay the preoperative plans over the patient's anatomy and provide useful guidance for surgeons during interventions, with integrated calibration and registration components. A novel bi-directional generalised point set registration algorithm that utilises robust features is developed to accurately align the pre-operative CT and intra-operative patient spaces, which has been demonstrated to outperform existing registration methods. The efficacy of the system is both qualitatively and quantitatively assessed with an in vitro study simulating a total knee arthroplasty (TKA) procedure. The experimental results showed that 1) the system can successfully align the preoperative and intraoperative spaces, with the mean target registration error (TRE) being 2.7771 mm;2) the models can be properly overlaid to the physical scenarios with the mean AR visualization accuracy being 6.9726 mm.
A variety of Intrusion Detection systems (IDSs) for Industrial controlsystems have been proposed to detect attacks and alert operators. Passive and active detection schemes are characterised by whether or not they in...
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This paper investigates the problem of fixed-time consistency consensus for second-order multi-agent systems under bounded disturbances. The proposed control protocol guarantees fixed-time consistency. First, a virtua...
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The construction of a distributed heterogeneous data platform for power grid dispatching faces challenges of diversity, large scale, and high performance. However, existing data platform design methods in both the pow...
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ISBN:
(纸本)9798350375145;9798350375138
The construction of a distributed heterogeneous data platform for power grid dispatching faces challenges of diversity, large scale, and high performance. However, existing data platform design methods in both the power and computer science fields struggle to meet practical production requirements effectively. This paper constructs a distributed data storage architecture model for power grid dispatching, defining the elements and their relationships within the architecture. Additionally, it proposes methods for managing massive source data and distributed heterogeneous database clusters. Based on these findings, a power grid dispatching business data platform is designed. Test results indicate that the proposed architecture effectively supports the efficient execution of power grid dispatching business, providing a specialized data platform design paradigm for the power industry.
Model predictive control is slowly but surly finding its way into industrial applications. While there are a lot of model predictive control algorithms for stable processes, the model predictive control algorithms for...
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This study focuses on the application of Programmable logic control (PLC) in the automation transformation of machine tools, aiming at discussing the key role of PLC technology in improving the performance of machine ...
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