In order to improve the quality of the bionic robot vision tracking, the new automatic tracking algorithm system is proposed in this paper. Based on the completed system hardware design and implementing scheme, the scene noise is removed by adaptive wiener filtering. Through the improved sequential particle filter algorithm, the dynamic target tracking is realized. The experiment result shows that the improved algorithm system still can lock the dynamic target accurately under the condition of that the outer contour of target changing and the partial occlusion existing.
In order to restrain the geometric dispersion effect of the stress-wave propagation on conventional split-Hopkinson pressure bar (SHPB), the modified striker bar in Hopkinson bar-loaded test system is selected. Both the experiments and the simulation using ANSYS/LS-DYNA finite element method (FEM) were performed to investigate the modified effect. After verifying the effectiveness of the used program, six modified geometries of the striker bar were simulated. The optimization results in the simulation were further compared with that of the experiment. It was found that the geometric dispersion effect of the incident pulse under the same loading condition can be restrained effectively by modifying the striker bar. Moreover, the experimental incident pulse has a good agreement with that of the numerical simulation curves. By investigating various cases, several typical incident pulses can be obtained through different modified striker bars, and these modified approaches are simple and easy to be achieved.
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