TWI728469B - Teaching path module for mobile vehicles - Google Patents
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- G05D1/0231—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
- G05D1/0246—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using a video camera in combination with image processing means
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Abstract
一種移動載具之教導路徑模組,所述移動載具為可移動的機器人或車體,該模組包括一視覺感測元件與一接收器、一運算器及一儲存器,該接收器接收遠端發送的指示命令,教導移動載具行走指示的路徑,該視覺感測元件作為拍攝影像,並將移動載具行走的路徑以連續拍攝影像,並且將該連續拍攝影像資料傳到該運算器,該運算器計算出路徑提供指導路徑給儲存器,該儲存器將指導路徑提供給移動的載具,藉此提供該移動載具以進行移動者。 A teaching path module for a mobile vehicle. The mobile vehicle is a movable robot or a vehicle body. The module includes a visual sensing element and a receiver, an arithmetic unit, and a storage. The receiver receives The instruction command sent by the remote end teaches the path of the mobile vehicle's walking instructions. The visual sensing element is used as a shooting image, and the path of the mobile vehicle is used to continuously shoot images, and the continuous shooting image data is transmitted to the computing unit The arithmetic unit calculates the path to provide a guidance path to the storage, and the storage provides the guidance path to the moving vehicle, thereby providing the moving vehicle for the mover.
Description
本發明作為移動載具之教導路徑模組,是指可設於移動載具上的模組,所述移動載具包括移動式機器人或是車體,該模組是作為移動載具位移到目的位置的路徑的指導模組,模組的數據計算方法是運用拍攝連續擷取之影像運算出特徵點,再由運算器以該特徵點計算出到達目的地行走路徑,藉此提供移動載具位移的方向路徑。 The present invention, as a teaching path module for a mobile vehicle, refers to a module that can be installed on a mobile vehicle. The mobile vehicle includes a mobile robot or a vehicle body. The module is used as a mobile vehicle to move to a destination. The guidance module of the location path. The data calculation method of the module is to calculate the characteristic points using the images continuously captured by shooting, and then the computing unit uses the characteristic points to calculate the walking path to the destination, thereby providing the displacement of the mobile vehicle Direction path.
現有在工廠或高爾夫球場或餐廳等,已有需要利用移動載具來替代人類載運貨品或巡邏監視等工作,目前這些區域所使用的移動載具的行走路徑模組設有感應元件,是藉由在路徑的轉向重點位置上設有多個感測器或紅外線或者是QR Code等對應元件,藉此以提供移動載具的行走路徑上由感應元件與對應元件進行信息配對以進行固定路徑的位移,然而這樣的指引路徑的對應元件必須要設在所有必要轉折位置上,因此所需的對應元件數量眾多,如該對應元件其中有一個故障,則該移動載具就無法進行移動。 At present, in factories, golf courses, restaurants, etc., it is necessary to use mobile vehicles to replace humans to carry goods or patrol and monitor tasks. At present, the walking path modules of mobile vehicles used in these areas are equipped with sensing elements. There are multiple sensors or corresponding components such as infrared or QR Code on the turning key position of the path, so as to provide the moving path of the mobile vehicle. The sensor components and the corresponding components are matched with information to carry out the displacement of the fixed path. However, such corresponding elements for guiding the path must be located at all necessary turning positions. Therefore, there are a large number of corresponding elements required. If one of the corresponding elements fails, the mobile carrier cannot be moved.
以及,當這些工作區域遇到火災時,或者是工作區環境路徑變更,則所述對應元件無法與移動載具的感應元件達成配對;以及,這些感應元件必須設置在固定位置上,若移動載具變更執行環境位置,則必須重新建置這些感應元件於相對應的位置上。 And, when these work areas encounter a fire, or the environment path of the work area changes, the corresponding elements cannot be matched with the sensing elements of the mobile vehicle; and these sensing elements must be set in a fixed position. If the location of the execution environment is changed, these sensing elements must be re-established at the corresponding locations.
亦有運用GPS進行路徑導航,但GPS的定位精度約在數公尺範圍,且如果機器人在室內移動工作,甚至穿梭於建築物內外或樓層之間,這些GPS無法精確提供移動載具移動並執行工作。 GPS is also used for route navigation, but the positioning accuracy of GPS is about a few meters, and if the robot moves indoors, or even shuttles inside and outside buildings or between floors, these GPSs cannot accurately provide mobile vehicles to move and execute. jobs.
為此,本創作為改良習知的缺點,運用攝影取得影像建立特徵點影像,以取得導航路徑,以影像特徵點計算指導路徑,不需要強大的運算與大型儲存器,可以達到運算快速的需求。 Therefore, in order to improve the conventional shortcomings, this creation uses photography to obtain images to create feature point images to obtain the navigation path, and use the image feature points to calculate the guiding path. It does not require powerful calculations and large storage, and can meet the needs of fast calculations. .
本發明運用視覺圖像的方式來建立起教導路徑的資料,所儲存資料為視覺圖像特徵點產生的固定路徑,只儲存特徵點產生的路徑資料使數據資訊量最小化為目的。 The present invention uses visual images to establish teaching path data. The stored data is a fixed path generated by the feature points of the visual image, and only the path data generated by the feature points are stored for the purpose of minimizing the amount of data information.
本發明移動載具之位置確認模組,採取一種指導路徑定位目的地的方式,其利於快速儲存及讀取後可以快速比對;以及,提供運算器快速地將儲存器內舊有資料進行比對,來更新儲存器,以產生最新的路徑更新。 The position confirmation module of the mobile vehicle of the present invention adopts a guide path to locate the destination, which facilitates quick storage and quick comparison after reading; and provides a calculator to quickly compare the old data in the storage Yes, to update the storage to generate the latest path update.
本發明移動載具之教導路徑模組,該移動載具設有一驅動裝置與一控制器,該教導路徑模組以電路或是以無線傳輸的方式連接組裝於移動載具的該控制器;所述教導路徑模組包括:一視覺感測元件與一接收器與一運算器及一儲存器,該接收器為接收遠端發送教導路徑的訊息,並提供給移動載具進行移動 的行走方向;以及,該視覺感測元件電路連接運算器,該運算器連結該儲存器,該儲存體係供作儲存記錄路徑資料的回存與提取;以及,該視覺感測元件包括一個攝像鏡頭;以及,該視覺感測元件作為配置於該移動載具的任意表面上;以及,該視覺感測元件藉由該攝像鏡頭將接收器接收指引移動載具行走路徑進行連續拍攝影像,並提供將得到多張影像傳輸給該運算器,該運算器將多張影像取得的特徵點計算,以取得指導路徑,並將該指導路徑儲存到儲存器,這個運算指導路徑特定流程包括以FAST、HARRIS、GFTT、SIFT等適當方法,藉由該方法取出照片中的二維特徵點,並使用如Fundamental Matrix投影幾何方法,利用二維特徵點在不同照片中的視差,計算出特徵點在三維中的位置,稱為三維特徵點和移動載具所在地的位姿,如此該移動載具的位姿與當時的二維特徵點與該二維特徵點對應的該三維特徵點,將建構起對應的關係,將該關係路徑資料一併存入儲存於儲存器中,將可供後續使用;以及,該儲存器僅記錄由影像輪廓產生的二維特徵點、三維特徵點與移動載具的進行行走的路徑關係資料,因此儲存資料空間很小,因該路徑關係資料比全息影像資料更直覺簡單,所以當重新載入時能快速的比對出移動載具目前的位置,讓移動載具能快速取得所在位置,並因此依照指導路徑定位並被教導進行下一步行走路徑以達到目的地;又,該指導路徑資料建立所需的儲存器儲存空間較少,因此在進行讀取儲存器快速,所以進行比對移動載具當下定位時能有最快的搜尋指導路徑及較準確的定位精度。The teaching path module of the mobile vehicle of the present invention is provided with a driving device and a controller, and the teaching path module is connected to the controller assembled on the mobile vehicle by means of electric circuit or wireless transmission; The teaching path module includes: a visual sensing element, a receiver, an arithmetic unit, and a memory, the receiver is for receiving the message of the teaching path sent by the remote end, and providing the traveling direction of the mobile vehicle to move; And, the visual sensing element circuit is connected to an arithmetic unit, the arithmetic unit is connected to the storage, and the storage system is used for storing and retrieving record path data; and, the visual sensing element includes a camera lens; and, the The visual sensing element is arranged on any surface of the mobile carrier; and, the visual sensing element uses the camera lens to receive and guide the receiver to guide the walking path of the mobile carrier to continuously shoot images, and provide multiple images to be obtained Transmit to the arithmetic unit, the arithmetic unit calculates the feature points obtained from multiple images to obtain the guidance path, and stores the guidance path in the memory. The specific process of this calculation guidance path includes FAST, HARRIS, GFTT, SIFT, etc. Appropriate method, by using this method to take out the two-dimensional feature points in the photo, and use the Fundamental Matrix projection geometry method to use the parallax of the two-dimensional feature points in different photos to calculate the position of the feature points in three dimensions, which is called three-dimensional The feature point and the pose where the mobile vehicle is located, so that the pose of the mobile vehicle and the current two-dimensional feature point and the three-dimensional feature point corresponding to the two-dimensional feature point will construct a corresponding relationship, and the relationship path The data is stored in the memory and will be available for subsequent use; and the memory only records the two-dimensional feature points, three-dimensional feature points generated by the image outline and the path relationship data of the moving vehicle, so it is stored The data space is small, because the path relationship data is more intuitive and simple than the holographic image data, so when reloading, the current position of the mobile vehicle can be quickly compared, so that the mobile vehicle can quickly obtain the location, and therefore follow The guiding path is positioned and taught to proceed to the next walking path to reach the destination; in addition, the storage space required for the establishment of the guiding path data is less, so the reading of the storage is fast, so the current comparison of the mobile vehicle is carried out When positioning, it can have the fastest search and guidance path and more accurate positioning accuracy.
1‧‧‧視覺感測元件 1‧‧‧Visual sensor
2‧‧‧接收器 2‧‧‧Receiver
3‧‧‧運算器 3‧‧‧Computer
4‧‧‧儲存器 4‧‧‧Storage
P1、P2‧‧‧特徵點 P1, P2‧‧‧Feature points
Pi‧‧‧三維特徵點 Pi‧‧‧Three-dimensional feature points
O1、O2‧‧‧位姿 O1, O2‧‧‧Position
第一圖 為本創作之模組運作流程。 The first picture is the operation flow of the module for this creation.
第二圖 為本創作實施利方塊圖。 The second picture is a block diagram for the creation and implementation of the game.
第三圖 為本創作特徵點對應關係圖。The third picture is the corresponding relationship diagram of the creative feature points.
本發明移動載具之教導路徑模組,請參閱第一圖所示,所述移動載具A包含移動式機器人或運輸機具,所述教導路徑模組B是作為組裝於移動載具A的內建電子元件內,其提供移動載具A所在位置辨識與姿態的教導功能元件,該教導路徑模組B包括一視覺感測元件1與一接收器2及一運算器3與一儲存器4,該視覺感測元件1電子線路連結該接收器2與該運算器3,該運算器3電子線路連接該儲存器4;以及,其連接方法可為直接電路連接電路板上的線路,或網路無線連結,或其它的通訊連結;所述無線連接的實施是指該運算器3可為設於模組之外,如第二圖所示,該運算器3設置於一控制主機端C,藉由無線發送或網路雲端,將運算器3的計算路徑訊息傳送到該接收器2,再由該接收器2將路徑訊息儲存到儲存器4,藉此該儲存器4提供存取路徑資訊,待移動載具欲進行移動時,再由接收器2經由儲存器4取得的以儲存預定的路徑資訊提供給移動載具,以供移動載具A依照指定路徑進行移動;以及,該視覺感測元件1包括一鏡頭,該攝影鏡頭裝設於移動載具A之任一表面位置處,作為拍攝該載具所在的環境的景物功能,該攝影鏡頭連續拍攝數張影像,並將所得影像傳到該運算器3,所述運算器3從該視覺感測元件1拍攝之二維影像中,擷取出離散的二維特徵點,並依據該連續取得影像的特徵找出同一個空間點位在不同影像上的二維座標,由於移動載具的在移動位置影像產生視差,這些二維特徵點在每一張影像上的二維座標會因此改變,並以該連續取得的二維特徵點數據利用投影的方法計算出特徵點在空間中的真實三維空間位置與移動載具本身的位姿,所述位姿是指移動載具在三維空間中朝向的方向,常用數學表達方向方式有歐拉角、三維正交矩陣、單位四元數;以及,該視覺感測元件的相機模組在工作時,會持續拍攝移動載具當下環境的影像,並將拍攝數據傳給運算器,並重覆依上述方法計算出新的二維特徵點與三維特徵點與移動載具新的位姿,並將這些數據與關係的資料儲存入所述的儲存器中更新,而不需要重新建立整個儲存器4。 For the teaching path module of the mobile vehicle of the present invention, please refer to the first figure. The mobile vehicle A includes a mobile robot or a conveying machine, and the teaching path module B is assembled in the mobile vehicle A. Built in electronic components, it provides teaching functional components for position recognition and posture of the mobile carrier A. The teaching path module B includes a
該運算器3分析若在一位置附近有大量類似或重覆的特徵點時,經連結該儲存器的資料比對後,則會自動將部份相似或重疊的特徵點或位姿關係等資訊從儲存器中刪除,以降低資料佔據儲存器空間。 The
該視覺感測元件能透過電路、網路、行動通訊等方式,取得影像資料傳輸給運算器。 The visual sensing element can obtain image data and transmit it to the computing unit through circuits, networks, mobile communications and other methods.
以上運算器3取得影像資訊,包括:特徵點描述、特徵點在影像中的二維座標、特徵點在空間的三維座標、移動載具曾經走過的位置與當時的姿態等,運算器3將資訊組合成路徑檔案並預存於儲存器4,在移動載具A暫停或重新啟動或失去位置時,運算器3可根據此儲存器4的內容來比對當下拍到影像中取出的二維特徵點,藉此計算出移動載具A當下所在的路徑位置,並將該路徑位置訊息傳送給移動載具A的驅動裝置以供其繼續移動工作。 The above
又,該視覺感測元件1與該接收器2及該運算器3與該儲存器4,可為一個以上。 In addition, there may be more than one
又,該儲存器4設於教導路徑模組B亦可設於網路雲端或外接於一電腦主機的記憶體;以及,該儲存器4的資料提供被移動載具A直接使用,或是傳到另一個移動載具A使用,該儲存器4可提供將檔案傳到另一儲存體備存。 In addition, the
實施本發明模組的運算器3計算方法如以下舉例所述,首先,因拍攝的相機其光學成像或多或少都會產生像差,這些相差會導致空間位置計算錯誤;甚至讓計算結果發散;因此在位置計算前運算器3要根據所搭載相機的光學特性校正影像的像差(例如:image sensor的像素尺寸、像素長寬比、光學鏡頭的paraxial焦距、垂直與水平焦距差異、畸變等),還原出特徵點在影像上的真實投影位置。 The calculation method of the
繼續,實施計算配對方法,一開始先由使用者在近端操 作移動載具進行移動,依照所要行走的路徑,遙控移動載具行走一遍該指定路徑,在移動載具開始移動當下起,該視覺感測元件1被啟動,因此開始進行連續拍攝,並將連續拍攝的影像提供給運算器3,該運算器3中找出二維特徵點,該每兩張影像的二維特徵點找出相同的特徵點配對,運用fundamental matrix及多組特徵點匹配,通常是8組但不限,還原出機器人位姿與配對特徵點的三維位置,並利用此幾何關係將影像中所有的特徵點都計算出在空間中的位置。 Continue to implement the calculation and pairing method. At the beginning, the user operates the mobile vehicle at the proximal end to move. According to the path to be traveled, the mobile vehicle is remotely controlled to walk the designated path. When the mobile vehicle starts to move, the visual The
又,如第二圖所示,使用者可在遠端的控制主機端C以無線發送操控訊號給該接收器2,該接收器2將操控訊息提供給移動載具A的內建的驅動元件(圖面未示),進而驅動元件驅使移動載具A依照遠端控制進行移動,藉此移動載具A行走一遍該指定路徑,在移動載具開始移動當下起,該視覺感測元件1被啟動,因此開始進行連續拍攝,並將連續拍攝得影像提供給運算器3,該運算器3則將該影像資料計算出路徑資料檔案,並將路徑資料檔案儲存到儲存器4內。 Also, as shown in the second figure, the user can wirelessly send a control signal to the
如第三圖所示,從每兩張影像I1、l2中找出的眾多特徵點配對中,當空間中一個特徵點Pi被兩張影像I1、l2看到時,此時相機中心分別在位姿O1和位姿O2,當相機在位姿O1時可以看到三維特徵點Pi的投影在特徵點p1;以及,當相機在位姿O2時三維特徵點Pi的投影在特徵點p2,第二張影像l2的相機中心投影至第一張影像l1時的投影稱為極點(epipole)e1,反之位姿O1投影到12上的極點為e2,任一配對的特徵點P1與P2都能對應該真實空間中的三維特徵點Pi,特徵點三維座標為[x,y,z]t,利用多個三維特徵點投影即可算出機器人的位姿O1與位姿O2,其關係為:O2=O1.[(R‧f)]其中,
其中x,y,z是三維位置座標,ψ,θ,φ則表示yaw,pitch,roll三個旋轉角度;藉以表示載具在空間中的姿態,運算順序是先轉yaw(ψ),其次是pitch(θ),最後是roll(φ) Among them, x, y, z are the three-dimensional position coordinates, ψ , θ , and φ represent the three rotation angles of yaw, pitch, and roll; in order to express the posture of the vehicle in space, the order of operations is first to yaw ( ψ ), followed by pitch( θ ), and finally roll( φ )
當連續拍攝的影像中,任二張均可透過以上方式取得一定數量的特徵點匹配,與推算出來的特徵點空間位置,以及拍攝這二張影像時模組的相對位置及位姿,這些資料可以連續地建構成一個有結構性的資料檔案,並放置入儲存器4,以檔案的型態儲存,將來能被重覆使用。
In the continuously shot images, any two images can be matched with a certain number of feature points through the above methods, and the calculated spatial position of the feature points, as well as the relative positions and poses of the modules when these two images were taken, these data A structured data file can be constructed continuously and placed in the
通常使用方式如下:該視覺感測元件1將持續擷取景物影像傳給該運算器3,並由該運算器3解析成為一個或一個以上的二維特徵點,通常至少10個特徵點,再將二維特徵點與一個或一個以上的儲存器內的二維特徵點比較,藉此得到最接近儲存器內儲存最接近的二維特徵點,並據此得到當時載具的位置與姿態,用來初步定位目前的位姿,再將新拍攝的影像中擷取出的二維特徵點與儲存器內的二維特徵點及儲存器內的特徵點三維空間位置進行運算及分析,可以得到移動載具A所在的路徑的當下位置,為此移動載具A就能依據此資訊來繼續進行移動工作,亦可將此儲存器4內的指導路徑檔案傳送給任何一個移動載具A,讓其它的移動載具A可重覆使用此儲存器4檔案,以利於進行工作,或是將該儲存器4內的指導路徑檔案上傳,當有其它移動載具A需要相同場地工作時即可藉由遠端或近端傳送儲存器4內的指導路徑檔案到另一台移動載具A的教導路徑模組內的儲存器4,藉此提供另一台移動載具A可行走與相同的指導路徑。 The usual usage method is as follows: the
本方法另一實施,為可以結合其它感測器作為輔助位姿資料獲取路徑位置資料來源,藉以整合成更可靠的位置推估,例如:當環境的影像特徵稀少時,上述方法計算出來的結果誤差較大,若能從其它感測器獲取路徑位置資料,將有助於修正影像計算位姿的誤差;其優點為: Another implementation of this method is that it can be combined with other sensors as the auxiliary pose data to obtain the path position data source, so as to integrate into a more reliable position estimation, for example: when the image features of the environment are scarce, the result calculated by the above method The error is large. If the path position data can be obtained from other sensors, it will help to correct the error of the image calculation pose; its advantages are:
1.在一個特定區域內,可以在儲存器4上建立一個指導路徑檔案,該指導路徑檔案為一個以上的檔案資料夾,或是將檔案資料夾分散建在不同的儲存器4上。 1. In a specific area, you can create a guide path file on the
2.儲存器4能被儲存成指導路徑檔案,將來能被其它移動載具A直 接使用,或是傳到另一個移動載具A使用。 2. The
3.當環境改變時,儲存器4內的指導路徑檔案能被更新。 3. When the environment changes, the guide path file in the
4.當移動載具A指導路徑檔案超出原本儲存器4的儲存容納範圍時,儲存器4能被擴充。 4. When the guidance path file of the mobile vehicle A exceeds the storage range of the
5.當有相當類似的特徵或位姿在儲存器4中時,經由分析後,運算器4會將一些特徵點資訊從儲存器4中移出。 5. When there are quite similar features or poses in the
6.運算器3會因不同時間,因光影、環境…等造成的不同特徵變化的特徵點資料進行計算,並隨時由儲存器4進行存取重新計算特徵點。 6. The
綜上所述,僅為本發明較佳實施例而已,並非用來限定本發明實施之範圍,即凡依本發明申請專利範圍所做之均等變化與修飾,皆為本發明專利範圍所涵蓋。 In summary, these are only preferred embodiments of the present invention and are not used to limit the scope of implementation of the present invention. That is, all equivalent changes and modifications made in accordance with the scope of the patent application of the present invention are covered by the patent scope of the present invention.
1‧‧‧視覺感測元件 1‧‧‧Visual sensor
2‧‧‧接收器 2‧‧‧Receiver
3‧‧‧運算器 3‧‧‧Computer
4‧‧‧儲存器 4‧‧‧Storage
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