Doppler-sonar is a dead-reckoning system . 多普勒-聲納是一種推測航位系統。
Interpolation between satellite positions was initially carried out by dead-reckoning procedures . 衛星定位值間的內插最初用的是推算航行法。
Fundamentally an inertial navigation system is a dead-reckoning system with a very significant characteristic which differentiates it from more conventional dead-reckoning equipment . 原則上慣性導航系統是一種航行推算系統,與一般的航行推算裝置不同,它具有極明顯的特點。
Adri automatic dead - reckoning instrument 自動推算定位儀器
This article pays attention to make use of curve matching to correct the distance error of dead - reckoning . matching algorithm improved by woleson is dependent on redrawing characteristic point and corresponding relation Woleson等人提出的曲線匹配算法,在很大程度上依賴于特征點的提取和特征點的對應。
The main tasks of this thesis are : discussing the dead - reckoning theory of doppler velocity log and compass , decreasing location error methods , emulating several ship tracks ; discussing several aspects influencing the velocity precision of doppler velocity log ; in a pool trial , processing the trial data and achieving some conclusions 本論文主要研究工作包括:對羅經和多普勒計程儀推算輔助導航系統的工作原理,及減小定位誤差的兩種方法和幾種軌跡進行了研究;對影響多普勒計程儀測速誤差的各個方面進行了綜述;最后對多普勒計程儀水池試驗的數據進行了處理,得出所要結論。
In the management of city transportation , navigation of satellite cannot meet the practical requirement because of shielding and interfering of satellite signal . therefore , map matching and dead - reckoning ( dr ) is used to assistant navigation . this combination is defined as gps / dr integrated navigation system , in which the map matching is used for correcting the orientation and distance errors of dr 而在城市交通管理的應用中,由于衛星定位信號經常會受到建筑物的遮擋和干擾,衛星定位無法滿足導航的實際要求,通常需用地圖匹配和航位推算器( dead - reckoning , dr )的方法進行輔助導航,這種導航方式稱為組合導航系統,其中地圖匹配可用來修正dr的方向和距離的系統誤差,以便在衛星信號失鎖時,提高dr自主定位的精度。
In this paper , the main research works are as follows : 1 ) survey and analysis previous work in auv navigation and summarize : as the cumulate error , the dead - reckoning and inertial navigation systems ca n ' t be used without other modified system ; the acoustic navigation system is used only in small range , and is very expensive . 2 ) two important approaches in geophysical navigation techniques are summarized , one is terrain contour based navigation , this approach is investigated keystone today ; the other is image based navigation , due to no perfect image sensors and image seabed map , this approach has seldom been practised . 3 ) two important terrain contour based navigation algorithms has been applied to auv , one is match algorithm - based terrain contour match ( tercom ) ; the other is kalman filter - based sandia inertia terrain - aided navigation ( sitan ) 主要研究內容包括:一、總結分析了當前水下導航的常用方法和不足之處,指出基于航位推算的導航方法,存在著最大的問題就是導航誤差的積累問題,如果沒有修正系統,這種方法很難滿足使用要求;其次指出基于聲學的導航方法,造價昂貴,導航范圍有限,難以滿足自主水下航行器大范圍導航的需求;二、總結了當前水下地形輔助導航的主要技術路線,一是基于地形高程的匹配方法,這是當前研究的重點;二是基于地形圖像的匹配方法,由于缺乏良好的圖像傳感器,和可用的海底圖像地圖,目前這種方法還有待研究發展;三、將兩種地形高程匹配的常用方法應用到自主水下航行器上:以相關算法為前提的地形輪廓匹配( tercom )方法和以卡爾曼濾波為基礎的桑迪亞慣性地形輔助導航( sitan )方法,前者算法簡單可靠,但是導航精度不高,后者雖然精度比較高,但存在著算法較為復雜、有可能發散和出現奇異值等問題。
For reducing dead - reckoning location error of doppler velocity log and compass , this thesis studies two methods , exponential flatness arithmetic and common flatness , gives the emulating results in the different tracks , proves that lawnmower is a efficient method of decreasing location error 本文研究了減小推算輔助導航系統定位誤差的指數加權平滑法和一般平滑法,并結合計算機給出了在同一軌跡下,兩種定位方法的區別;并且還給出了不同軌跡下的定位結果,證明了走剪草機軌跡是一種有效的減小定位誤差的方法。
Presents the perception mechanism of virtual humans based on a dead - reckoning algorithm to overcome the drawback of the synthetic vision approach , promotes the study of perception techniques in behavioral animation , and lays the foundation for the behavior control study for virtual humans , and points out that with the development of behavioral animation in more than one decade , researchers have been more and more convinced of the importance of the behavior study for virtual humans ; perception mechanism is the core of the above study ; the perception mechanism for virtual humans has been generally founded by the sensory approach , not by the synthetic vision approach because the complexity of virtual human itself and the dynamic quality of environments make it difficult to transmit visual information between virtual humans in multi virtual human environment like a virtual war field 近十幾年來,隨著對行為動畫研究的開展,研究者們越來越認識到行為研究對虛擬人研究的重要性.感知機制是虛擬人行為研究的核心,迄今為止研究者們一般采用傳感器方法而不是合成視覺方法建立虛擬人的感知機制,這是因為在象虛擬戰場這樣的多虛擬人環境中,虛擬人本身的復雜性、環境的動態性,使得虛擬人間可視信息的傳遞很困難.為了解決這個問題,提出了基于位置推算算法的虛擬人感知機制.該項研究彌補了合成視覺方法的不足,豐富了行為動畫中感知技術的研究,從而為虛擬人行為控制的研究奠定了基礎