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基于人體下肢運(yùn)動(dòng)學(xué)機(jī)理的行人導(dǎo)航方法

發(fā)布時(shí)間:2018-05-01 08:44

  本文選題:行人導(dǎo)航 + 人體運(yùn)動(dòng)學(xué); 參考:《中國慣性技術(shù)學(xué)報(bào)》2015年01期


【摘要】:利用人體運(yùn)動(dòng)特征實(shí)現(xiàn)行人導(dǎo)航是近年來導(dǎo)航技術(shù)領(lǐng)域新興的研究方向之一。針對(duì)慣性測(cè)量組件足部安裝方式在人體較高過載的運(yùn)動(dòng)中無法有效實(shí)現(xiàn)零速修正的問題,研究了一種慣性測(cè)量組件在人體下肢分布式安裝,基于人體下肢運(yùn)動(dòng)學(xué)機(jī)理構(gòu)建虛擬足部慣性測(cè)量組件,從而實(shí)現(xiàn)人體導(dǎo)航定位的方法。闡述了行人導(dǎo)航系統(tǒng)的結(jié)構(gòu)與虛擬慣性傳感組件的構(gòu)建機(jī)理,研制了系統(tǒng)原理樣機(jī)。實(shí)驗(yàn)結(jié)果表明所提出的方法在人體較高過載的行進(jìn)中可有效克服測(cè)量信息超量程、沖擊等因素對(duì)導(dǎo)航解算的影響,定位精度約為行進(jìn)距離的6%,并通過分析總結(jié)了影響該類型行人導(dǎo)航系統(tǒng)性能的各項(xiàng)主要因素,為進(jìn)一步研究提供了一定的理論與技術(shù)基礎(chǔ)。
[Abstract]:Pedestrian navigation using human motion features is one of the new research directions in navigation technology field in recent years. Aiming at the problem that the foot mounting mode of the inertial measurement module can not effectively realize the zero speed correction in the high overload movement of the human body, a distributed installation of the inertial measurement module in the lower limbs of the human body is studied in this paper. Based on the kinematics mechanism of human lower limbs, a virtual foot inertial measurement module is constructed to realize human navigation and positioning. The structure of pedestrian navigation system and the construction mechanism of virtual inertial sensor module are described. The prototype of the system principle is developed. The experimental results show that the proposed method can effectively overcome the effects of measurement information overloading, shock and other factors on navigation solution. The positioning accuracy is about 6% of the travel distance. The main factors affecting the performance of this type of pedestrian navigation system are analyzed and summarized, which provides a theoretical and technical basis for further research.
【作者單位】: 南京師范大學(xué)電氣與自動(dòng)化工程學(xué)院;南京航空航天大學(xué)自動(dòng)化學(xué)院;
【基金】:國家自然科學(xué)基金(61304227) 江蘇省自然科學(xué)基金(BK20141453) 江蘇省高校自然科學(xué)基金(13KJB590001)
【分類號(hào)】:TN96
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本文編號(hào):1828618

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