標識標志更換 的英文怎麼說
中文拼音 [biāozhìbiāozhìgēnghuàn]
標識標志更換
英文
maintenance of identification- 標 : Ⅰ名詞1 [書面語] （樹梢） treetop; the tip of a tree2 （枝節或表面） symptom; outside appearance; ...
- 識 : 識Ⅰ動詞[書面語] （記） remember; commit to memory Ⅱ名詞1. [書面語] （記號） mark; sign 2. （姓氏） a surname
- 志 : Ⅰ名詞1 （志向; 志願） aspiration; ambition; ideal; will 2 （文字記錄） records; annals 3 （記號）...
- 更 : 更副詞1. （更加） more; still more; even more 2. （再,又） further; still further; furthermore
- 換 : 動詞1. （給人東西同時從他那裡取得別的東西） exchange; barter; trade 2. （變換; 更換） change 3. （兌換） exchange; cash
- 標識 : [物理學] characteristic; identification; identifying標識碼 identification code; 標識位置 home position
- 標志 : signmarksymbolhallmarkblipemblemdenotationtagensignflagattributemarkerbrandstypeindex
- 更換 : renewal; change; replace; transposing; exchange; replacement; alter
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The main work of the thesis is as follows : we design a novel omni - mirror more applicable in robocup, which is made up of an isomeric horizontal mirror and an isomeric vertical mirror and can make the resolution of the imaging of the objects near the robot on the field constant and make the distortion of the imaging of the objects far from the robot small in vertical direction ; we select a 1394 digital color camera and complete the development of its software program for data acquisition ; we design a image processing algorithm for the panoramic image, which can segment the image by color, extract the features of image fast and effectively and complete the recognization of target ; according the character of the imaging, we design a new fast hough transform algorithm for line detection, which can detect the white mark lines of the field realtimely, and then design a robot ’ s self - localization method based the mark lines, which only uses the information of omni - vision system ; finally we design a monte carlo localization method based on the information of omni - vision system and odometry, and present the localization results of two localization methods and analyze the experiment results and get the conclusions
本論文的主要工作如下:設計了一種新的更適用於機器人足球賽的全向反射鏡面，該鏡面由水平等比鏡面和垂直等比鏡面組合而成，能夠使機器人近處一定范圍內水平場地上的物體成像解析度不變，遠處物體成像高度上變形較小;選擇了一款基於1394介面的數字攝像機，並完成其數據採集程序開發;針對全景圖像設計了圖像處理演算法，能夠快速有效的實現圖像顏色分割和圖像特徵提取，完成目標識別;根據全景圖像的成像特性，設計了一種新的用於直線檢測的快速hough變換演算法，能夠實時的提取出場地的白色標志線，並在此基礎上設計了完全利用全向視覺信息的基於標志線的機器人自定位方法;最後設計了一種基於全向視覺信息和里程計信息的montecarlo定位方法，給出兩種方法的定位結果，並分析實驗結果，給出結論。
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