odometry 中文意思是什麼

This paper describes a new way to fuse vision information and odometry data

摘要提出了一種新的將視覺信息和里程計數據相融合的方法。

This thesis presents an odometry model for 4 - wheel omnidirectional mobile robots and proposes a method to achieve holonomic description of robot ’ s kinematic characteristics based on two dual - axis accelerations. with combinated data from encoder 、 acceleration 、 compass and pose from an omni - directional vision system, a kalman filter is designed to fuse data for robot ’ s self - localization. results of experiments concludes the achievement of this thesis

通過分析本文選用的幾種傳感器和視覺在機器人定位應用中的特點，對基於kalman濾波的融合方法在機器人定位中的應用進行了討論，建立了機器人加速度模型，並對其線性化，基於傳感器測量和預處理結果，建立了系統觀測模型。

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。

This is structure from motion. while building map, the robot has to update its odometry data, then continue to create map. this process is called simultaneous localization and mapping ( slam ), and the localization during slam is local localization

機器人在創建地圖的過程中，為了提高地圖的精度，需要時刻修正里程計數據，再利用新的位姿更新地圖，這個一邊創建地圖一邊修正自己位姿的過程稱為同時定位與地圖創建，即slam ，而slam過程中機器人修正位姿的過程稱為局部定位。