The project which the thesis based on is to do some researches on the multi - sensor data fusion technology , then to design and implement fire detecting system 本課題的研究內(nèi)容是對多傳感器數(shù)據(jù)融合技術(shù)的研究和在此基礎(chǔ)上設(shè)計并實現(xiàn)火災(zāi)探測系統(tǒng)。
The paper reviewed the present situation of the multi - sensor data fusion theory which is a new information integration and process technology 文中綜述了多傳感器數(shù)據(jù)融合理論的研究現(xiàn)狀,多傳感器數(shù)據(jù)融合是一種新的多門類跨學(xué)科的信息綜合、信息處理技術(shù)。
In a sensor experiment , the student usually can not specify any parameters although she may be able to select the particular sensor data that she wishes to receive 在傳感器實驗中,試驗者通常不會指定任何參數(shù),雖然她能夠選擇她希望獲得的精確的傳感數(shù)據(jù)。
Running the experiment consists of subscribing to real time sensor data , usually presented in a graphical user interface such as a virtual strip chart 進行這個實驗在于獲取實時的傳感數(shù)據(jù),這些數(shù)據(jù)通常由一個圖形用戶界面提供,比如說一個虛擬的帶狀記錄紙。
Then the two 2d lrf based obstacle detection system was carefully designed and consequently the algorithm based on multi - sensor data fusion was presented 接下來作者設(shè)計了采用兩個2d激光測距雷達的alv障礙檢測系統(tǒng),并提出了基于多傳感器數(shù)據(jù)融合的障礙檢測方法。
Simulation test results show that this method may reduce the uncertainty of individual sensor data and enhance systems , capacities of discernment to targets 仿真實驗結(jié)果表明,該方法可以減少單一傳感器的不確定性,增加結(jié)果的可分離性,從而提高系統(tǒng)對目標(biāo)的識別能力。
With people ’ s requirement to multi - sensor data fusion system performance becomes higher and higher , it can not achieve the requirement only rely on one fusion method 隨著人們對多傳感器數(shù)據(jù)融合系統(tǒng)的性能要求越來越高,僅僅依賴某一種融合方法是難以達到要求的。
Many references show that the theoretic and practical researches on inertial surveying and attitude reference systems are predominantly in the field of sensor data integration 文獻分析表明,慣性測量與姿態(tài)參考系統(tǒng)的理論及應(yīng)用研究主要集中在傳感器信息綜合方面。
In this paper , according as multi - sensors datum fusion technology , we can detecu diagnosis and reconstruct the fault sensors according the correlative characteristic of the measured datum 本文中,應(yīng)用多傳感器數(shù)據(jù)融合技術(shù),利用傳感器測量數(shù)據(jù)相關(guān)這種特性對故障傳感器進行檢測、識別與重構(gòu)。
Furthermore , dempster - shafer ( d - s ) method which is used to identify objects in multi - sensor data fusion is elaborated . different situations in homogeneous and 此外,該文還詳細闡明了在多傳感器數(shù)據(jù)融合中目標(biāo)識別的證據(jù)推理方法,對同類證據(jù)及不同類證據(jù)融合識別的各種情況分別進行了分析和討論。