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Experimental Study of Vision Sensor Based Multiple Robots Active Cooperative Observation Using Multi-RFRs Testbed

机译:基于多RFRs的基于视觉传感器的多机器人主动合作观察的实验研究

摘要

An experimental study of an active cooperative observation approach based on Extended Set-Membership Filter (ESMF) is completed. In the experiment, the two RFRs can keep the optimal observation formation while achieving the cooperative observation so that the observation accuracy is improved further. The most attracting advantages in this video is that the experimental results on the testbed showed the proposed method can achieve data fusion well to improve the observation accuracy and the real time performance and observation accuracy can meet the requirement of on-line application.
机译:完成了基于扩展集成员资格过滤器(ESMF)的主动合作观测方法的实验研究。在实验中,两个RFR可以在保持协同观测的同时保持最优的观测形成,从而进一步提高了观测精度。该视频最吸引人的优点是,在测试台上的实验结果表明,该方法可以很好地实现数据融合,从而提高了观测精度,实时性能和观测精度可以满足在线应用的要求。

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