For spacecraft position and orientation estimation missions in mid-to-long-range space environments, there is a lack of ideal 3D sensors. Under these circumstances, although monocular cameras can hardly provide accura...
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ISBN:
(纸本)9798350364200;9798350364194
For spacecraft position and orientation estimation missions in mid-to-long-range space environments, there is a lack of ideal 3D sensors. Under these circumstances, although monocular cameras can hardly provide accurate depth information, it is widely applied. Some studies have explored monocular target pose estimation in general conditions. However, the degree of freedom of an on-orbit target that is not constrained by ground and gravity is more complicated. To extend this task to orbit target, this paper first estimated a huge spacecraft dataset with automatically labeled 3D poses, and then a deep neural network was designed following 'end-to-end' supervised learning. A modified Intersection over Union method for position-orientation combined evaluation is developed as well.
This paper investigates lag consensus of second-order nonlinear multi-agent systems (MASs) on the basis of passivity. on one hand, the passivity of single agent is addressed by utilizing the appropriate controller. On...
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Neural Radiance Fields (NeRF) is a powerful rendering approach that represents scenes implicitly. By utilizing 5D coordinates along camera rays, NeRF models volume density and radiance field, yielding impressive rende...
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The global model-free prescribed performance tracking control problems are studied in this note. A low-computation control algorithm is developed for a class of uncertain multi-input multi-output (MIMO) uncertain syst...
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In this paper, we investigate the fixed-time consensus control problem for nonlinear multi-agent systems with unknown bounded disturbances under directed topology. Firstly, a terminal integral sliding mode manifold wi...
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ISBN:
(纸本)9798350354416;9798350354409
In this paper, we investigate the fixed-time consensus control problem for nonlinear multi-agent systems with unknown bounded disturbances under directed topology. Firstly, a terminal integral sliding mode manifold with fast convergence speed is designed. Secondly, a consensus control protocol based on an event-triggered mechanism is developed to ensure that nonlinear multi-agent systems achieve fixed-time consensus while also conserving network resources. Thirdly, the stability analysis is presented by employing the Lyapunov theory, and the Zeno phenomenon is excluded by utilizing the proposed event-based fixed-time consensus controller. Finally, simulation experiments are given to demonstrate the validity of the proposed control method.
This paper addresses the synchronization for coupled reaction-diffusion neural networks (CRNNs) with multi-state couplings suffering attacks. By utilizing the Kronecker product, a network synchronization criterion is ...
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A hybrid intelligent dynamic optimization method is proposed to find the optimal input and switching times for path-constrained nonlinear switched systems within a finite number of iterations. Firstly, the path constr...
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This paper studies the problem of location and capacity for direct charging (DC) fast charging stations (CS). A new model with the random spatial-temporal distribution of charging demands is proposed to plan both the ...
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Mapless navigation is a widely-used technique for directing mobile robots through an unknown environment. Inspired by goal-oriented navigation features of mammals in nature, this work introduces heuristic knowledge an...
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The utilization of intelligent vehicles for detecting road anomalies has become a relatively common phenomenon. The existing road disease detection workload is large, the robustness is not high, and small diseases are...
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