TWM541010U - Image recognition coordinates determination and navigation device - Google Patents
Image recognition coordinates determination and navigation device Download PDFInfo
- Publication number
- TWM541010U TWM541010U TW105203500U TW105203500U TWM541010U TW M541010 U TWM541010 U TW M541010U TW 105203500 U TW105203500 U TW 105203500U TW 105203500 U TW105203500 U TW 105203500U TW M541010 U TWM541010 U TW M541010U
- Authority
- TW
- Taiwan
- Prior art keywords
- image
- coordinate
- unit
- processing unit
- coordinates
- Prior art date
Links
Landscapes
- Control Of Position, Course, Altitude, Or Attitude Of Moving Bodies (AREA)
Description
本創作「影像辨識確定座標與導航裝置」,涉及一種以影像辨識確定座標與導航之技術領域。 The present invention "image recognition determining coordinates and navigation device" relates to a technical field of determining coordinates and navigation by image recognition.
習知定位技術迅速發展,如:GPS定位,可用與軍事與商業;然而,商業用途上,其誤差範圍比軍用GPS定位還大,在加上室內不適合GPS定位,故為了降低定位時所帶來的誤差,並適合於室內室外之定位方法,以適當的設計,為使用者帶來便利性。 The conventional positioning technology has developed rapidly, such as: GPS positioning, available with military and commercial; however, for commercial use, the error range is larger than military GPS positioning, and the indoor is not suitable for GPS positioning, so in order to reduce the positioning The error is suitable for indoor and outdoor positioning methods, and is designed to be convenient for the user.
為改善前述定位技術不利於商品化之缺失,本創作「影像辨識確定座標與導航裝置」,其主要目的在於:提供一原理簡易,效果卓越之系統架構。 In order to improve the above-mentioned positioning technology, which is not conducive to the lack of commercialization, the main purpose of the creation of "image recognition determining coordinates and navigation device" is to provide a system architecture with simple principle and excellent effect.
為達成上述目的,本案具體之手段為:該影像辨識確定座標裝置,包括有一影像擷取單元、一影像處理單元、一影像座標資料庫、一影像辨識單元、一中央處理器、一無線單元、一影像追蹤單元、一基座、一距離感測器。 In order to achieve the above object, the specific method of the present invention is: the image recognition determining coordinate device comprises an image capturing unit, an image processing unit, an image coordinate database, an image recognition unit, a central processing unit, a wireless unit, An image tracking unit, a base, and a distance sensor.
所述該影像擷取單元,可擷取一範圍之影像。 The image capturing unit can capture a range of images.
所述該影像處理單元,可處理影像擷取單元所擷取之影像。 The image processing unit can process the image captured by the image capturing unit.
所述該影像座標資料庫,存放影像及座標之資料庫。 The image coordinate database stores a database of images and coordinates.
所述該影像辨識單元,用以判斷影像處理單元之輸出影像與影像座標資料庫之影像,並決定座標。 The image recognition unit is configured to determine an image of the output image of the image processing unit and the image coordinate database, and determine a coordinate.
所述該中央處理單元,對各單元進行計算與設定,規劃導航路徑,並控制基座。 The central processing unit performs calculation and setting on each unit, plans a navigation path, and controls the pedestal.
所述該無線單元,用以傳送資與接收資料之用。 The wireless unit is configured to transmit and receive data.
所述該影像追蹤單元,用以計算追蹤目標物時,鏡頭應位移之向量。 The image tracking unit is configured to calculate a vector that the lens should be displaced when the target is tracked.
所述該基座,用以改變影樣擷取單元之影像擷取方向,使鏡頭對準目標物。 The base is configured to change an image capturing direction of the image capturing unit to align the lens with the target.
所述該距離感測器,用以感測距離。 The distance sensor is configured to sense a distance.
1‧‧‧影像擷取單元 1‧‧‧Image capture unit
11‧‧‧目標物 11‧‧‧ Targets
12‧‧‧影像感測器 12‧‧‧Image sensor
13‧‧‧變焦裝置 13‧‧‧ Zoom device
14‧‧‧光學鏡頭 14‧‧‧ optical lens
100‧‧‧影像辨識確定座標裝置 100‧‧‧Image recognition determining coordinate device
2‧‧‧影像處理單元 2‧‧‧Image Processing Unit
3‧‧‧影像座標資料庫 3‧‧‧Image coordinate database
31‧‧‧座標A 31‧‧‧Coordinate A
32‧‧‧座標B 32‧‧‧Coordinate B
33‧‧‧座標C 33‧‧‧Coordinate C
34‧‧‧座標D 34‧‧‧Coordinate D
4‧‧‧影像辨識單元 4‧‧‧Image recognition unit
5‧‧‧中央處理器 5‧‧‧Central processor
51‧‧‧影像追蹤單元 51‧‧‧Image Tracking Unit
6‧‧‧基座 6‧‧‧Base
61‧‧‧水平旋轉驅動裝置 61‧‧‧ horizontal rotary drive
62‧‧‧垂直旋轉驅動裝置 62‧‧‧Vertical Rotary Drive
7‧‧‧無線單元 7‧‧‧Wireless unit
8‧‧‧距離感測器 8‧‧‧Distance sensor
9‧‧‧無人移動裝置 9‧‧‧Unmanned mobile devices
圖1:係本創作之影像辨識確定座標之方塊示意圖。 Figure 1: Schematic diagram of the image recognition determining coordinates of this creation.
圖2:係本創作之影像擷取一範圍示意圖。 Figure 2: A schematic diagram of a range of images captured by this creation.
圖3:係本創作影像座標資料庫示意圖。 Figure 3: Schematic diagram of the database of the created image coordinates.
圖4:係本創作之影像座標資料庫之座標示意圖。 Figure 4: Schematic diagram of the coordinates of the image coordinate database of this creation.
圖5:係本創作之追蹤目標示意圖。 Figure 5: Schematic diagram of the tracking target of this creation.
圖6:係本創作之影像辨識確定座標之流程圖。 Figure 6: Flowchart of determining the coordinates of the image recognition of this creation.
圖7:係本創作新增無線單元之影像辨識確定座標之方塊示意圖。 Figure 7: Block diagram of the image recognition determining coordinates of the newly added wireless unit in this creation.
圖8:係本創作新增無線單元、影像追蹤單元、基座之影像辨識確定座標之方塊示意圖。 Figure 8: This is a block diagram of the new wireless unit, image tracking unit, and pedestal image recognition determining coordinates.
圖9:係本創作新增無線單元、距離感測器之影像辨識確定座標之方塊示意圖。 Figure 9: This is a block diagram of the image recognition and coordinates of the new wireless unit and distance sensor.
圖10:係本創作新增無線單元、影像追蹤單元、基座、距離感測器之影像辨識確定座標之方塊示意圖。 Figure 10: This is a block diagram of the image recognition and coordinates of the new wireless unit, image tracking unit, pedestal, and distance sensor.
圖11:係本創作導航示意圖。 Figure 11: Schematic diagram of the creation of this creation.
本創作「影像辨識確定座標與導航裝置」,其結構組成,及所能產生的功效,配合圖式,舉一本案之較佳實施例詳細說明如下。 The creation of the "image recognition determining coordinates and navigation device", its structural composition, and the effects that can be produced, together with the drawings, a preferred embodiment of the present case is described in detail below.
請參閱圖1,該影像辨識確定座標裝置100,包括:一影像擷取單元1,一影像處理單元2,一影像座標資料庫3,一影像辨識單元4,一中央處理器5;參閱圖6,先由影像擷取單元1擷取目標物11之影像,透過影像處理單元2做影像處理,而影像座標資料庫3是事先存放數筆資料,每筆資料存放一影像與一座標,將影像處理單元2處理完的影像與影像座標資料庫3之影像,在影像辨識單元4中,進行判斷,若不相似,則繼續判斷其他影像資座標料庫3之影像;若相似或一樣,該影像座標資料庫3之相似影像的座標,作為決定之座標;在決定座標前,中央處理器5可對各單元與影像座標資料庫3中,進行計算與設定。 Referring to FIG. 1 , the image recognition determining coordinate device 100 includes: an image capturing unit 1 , an image processing unit 2 , an image coordinate database 3 , an image recognition unit 4 , and a central processing unit 5 ; First, the image capturing unit 1 captures the image of the object 11 and performs image processing through the image processing unit 2, and the image coordinate database 3 stores a plurality of data in advance, each image stores an image and a label, and the image is imaged. The image processed by the processing unit 2 and the image of the image coordinate database 3 are judged in the image recognition unit 4, and if they are not similar, the images of the other image bases 3 are continuously determined; if similar or identical, the image is similar The coordinates of the similar image of the coordinate database 3 are used as the coordinates of the decision; before determining the coordinates, the central processing unit 5 can calculate and set each unit and the image coordinate database 3.
參閱圖1,該影像擷取單元1可由一個到數個影像擷取裝置集合而成,一起擷取影像,並傳送資訊。 Referring to FIG. 1, the image capturing unit 1 can be assembled from one to several image capturing devices to capture images and transmit information.
參閱圖1,該影像辨識確定座標裝置100之影像處理單元2之處理,可以平滑化、灰階處理、二值化影像、膨脹運算、侵蝕運算、補洞、影像邊緣偵測等方式處理。 Referring to FIG. 1, the image recognition unit determines the processing of the image processing unit 2 of the coordinate device 100, which can be processed by smoothing, grayscale processing, binarized image, expansion calculation, erosion calculation, hole filling, image edge detection, and the like.
參閱圖2,影像擷取單元1之變焦裝置13,可改變影像感測器12之感應範圍;影像感測器12之測距方法,以3D影像感測器晶片為例,以紅外線光運作,利用時差測距(ToF)測量原理:3D影像感測器晶片,會針對本身之每一像素,測量紅外線光自攝影機與目標物11之間往返時間,進而達到測距之目的。 Referring to FIG. 2, the zoom device 13 of the image capturing unit 1 can change the sensing range of the image sensor 12; the method for measuring the image sensor 12 uses a 3D image sensor chip as an example to operate with infrared light. Using the principle of time difference ranging (ToF) measurement: 3D image sensor chip, for each pixel of its own, measures the round-trip time between infrared light from the camera and the target 11, and then achieves the purpose of ranging.
參閱圖3,影像座標資料庫3存放數個影像及影像之座標,參閱圖4,該座標以目標物11為原點,計算一相對座標,該相對座標即為影像座標資料庫3之中,所存放的座標。 Referring to FIG. 3, the image coordinate database 3 stores coordinates of several images and images. Referring to FIG. 4, the coordinates of the target object 11 are used as an origin, and a relative coordinate is calculated. The relative coordinate is the image coordinate database 3, The coordinates that are stored.
參閱圖5,目標物11未在影像擷取單元1之鏡頭中心,若要將影像擷取單元1之鏡頭中心對準目標物11,中央處理器5必須控制基座6,調整影像擷取單元1,使影像擷取單元1能擷取到目標物11,並使鏡頭對準目標物11;故由影像擷取單元1連續擷取影像,並轉為光學訊號,影像追蹤單元51藉由該光學訊號,計算一目標物11沿該光學鏡頭14中心切線方向之位移向量D,並將位移向量D轉為位移訊號,中央處理器5以該位移訊號控制基座6之兩個驅動裝置,分別是水平旋轉驅動裝置61與垂直旋轉驅動裝置62,使目標物11在光學鏡頭14之法線上。 Referring to FIG. 5, the target 11 is not at the center of the lens of the image capturing unit 1. To align the lens center of the image capturing unit 1 with the target 11, the central processing unit 5 must control the pedestal 6 to adjust the image capturing unit. 1. The image capturing unit 1 can capture the target object 11 and align the lens with the target object 11; therefore, the image capturing unit 1 continuously captures the image and converts it into an optical signal, and the image tracking unit 51 uses the image capturing unit 51. The optical signal calculates a displacement vector D of a target 11 along a tangential direction of the center of the optical lens 14, and converts the displacement vector D into a displacement signal, and the central processing unit 5 controls the two driving devices of the base 6 by the displacement signal, respectively The horizontal rotation driving device 61 and the vertical rotation driving device 62 are such that the object 11 is on the normal line of the optical lens 14.
參閱圖7,新增無線單元7之影像辨識確定標裝置100,包括一影像擷取單元1、一影像處理單元2、一影像座標資料庫3、一影像辨 識單元4、一中央處理器5、一無線單元7;先由影像擷取單元1、影像處理單元2、影像座標資料庫3之動作與影像辨識單元4之判斷,確定是否為目標物11,若是目標物11,並決定座標;無線單元7與中央處理器5連接,隨時收發資訊;參閱圖11,該新增無線單元7之影像辨識確定座標裝置100安置於無人移動裝置9,無線單元7未接受資訊或目標物11未發出控制訊號時,該影像辨識確定座標裝置100,由中央處理器5控制,自主運作,決定座標,該座標即為無人移動裝置9之起始座標或現在座標,當目標物11送出控訊號,該訊號可以是目的座標訊號與影像資訊,而無線單元7收到訊號後,中央處理器5依目的座標、現在座標與影像擷取單元1之影像感測器12之感測距離數據,計算路徑,並控制無人移動裝置9,移動到目的座標。 Referring to FIG. 7, the image recognition determining device 100 of the new wireless unit 7 includes an image capturing unit 1, an image processing unit 2, an image coordinate database 3, and an image recognition. The identification unit 4, a central processing unit 5, and a wireless unit 7; firstly, the operation of the image capturing unit 1, the image processing unit 2, the image coordinate database 3, and the image recognition unit 4 determine whether the target object 11 is If it is the target object 11 and determines the coordinates; the wireless unit 7 is connected to the central processing unit 5 to send and receive information at any time; referring to FIG. 11, the image recognition determining coordinate device 100 of the newly added wireless unit 7 is disposed on the unmanned mobile device 9, the wireless unit 7 When the information is not received or the target 11 does not send a control signal, the image recognition determines the coordinate device 100, which is controlled by the central processing unit 5, operates autonomously, and determines a coordinate, which is the starting coordinate or the current coordinate of the unmanned mobile device 9, When the target object 11 sends the control signal, the signal can be the target coordinate signal and the image information, and after the wireless unit 7 receives the signal, the central processing unit 5 according to the target coordinate, the current coordinate and the image sensor 12 of the image capturing unit 1 The distance data is sensed, the path is calculated, and the unmanned mobile device 9 is controlled to move to the destination coordinate.
參閱圖8,新增無線單元7、影像追蹤單元51、基座6之影像辨識確定座標裝置100,包括一影像擷取單元1、一影像處理單元2、一影像座標資料庫3、一影像辨識單元4、一中央處理器5、一無線單元7、一影像追蹤單元51、一基座6;先由影像擷取單元1、影像處理單元2、影像座標資料庫3之動作與影像辨識單元4之判斷,確定是否為目標物11,若是目標物11,由影像追蹤單元51計算與中央處理器5控制基座6,使目標物11在影像擷取單元1之鏡頭中心,並決定座標;無線單元7與中央處理器5連接,隨時收發資訊;參閱圖11,該新增無線單元7、影像追蹤單元51、基座6之影像辨識確定座標裝置100安置於無人移動裝置9,無線單元7未接受資訊或目標物11未發出控制訊號時,該影像辨識確定座標裝 置100,由中央處理器5控制,自主運作,決定座標,該座標即為無人移動裝置9之起始座標或現在座標,當目標物11送出控訊號,該訊號可以是目的座標訊號與影像資訊,而無線單元7收到訊號後,中央處理器5依目的座標、現在座標與影像擷取單元1之影像感測器12之感測距離數據,計算路徑,並控制無人移動裝置9,移動到目的座標。 Referring to FIG. 8, the image recognition determining coordinate device 100 of the wireless unit 7, the image tracking unit 51, and the base 6 includes an image capturing unit 1, an image processing unit 2, an image coordinate database 3, and an image recognition. The unit 4, a central processing unit 5, a wireless unit 7, an image tracking unit 51, and a base 6; the action and image recognition unit 4 of the image capturing unit 1, the image processing unit 2, and the image coordinate database 3 Judging whether it is the target object 11, if it is the target object 11, the image tracking unit 51 calculates and controls the pedestal 6 with the central processing unit 5, so that the target object 11 is at the lens center of the image capturing unit 1, and determines the coordinates; The unit 7 is connected to the central processing unit 5 to send and receive information at any time. Referring to FIG. 11, the image recognition determining coordinate device 100 of the newly added wireless unit 7, the image tracking unit 51, and the base 6 is disposed on the unmanned mobile device 9, and the wireless unit 7 is not When the information is received or the target 11 does not send a control signal, the image recognition determines the coordinate Set to 100, controlled by the central processing unit 5, operate autonomously, determine the coordinates, the coordinates are the initial coordinates or the current coordinates of the unmanned mobile device 9. When the target object 11 sends the control signal, the signal can be the target coordinate signal and the image information. After the wireless unit 7 receives the signal, the central processing unit 5 calculates the path according to the sensed distance data of the target coordinate, the current coordinate and the image sensor 12 of the image capturing unit 1, and controls the unmanned mobile device 9 to move to Destination coordinates.
參閱圖9,新增無線單元7、距離感測器8之影像辨識確定座標裝置100,包括一影像擷取單元1、一影像處理單元2、一影像座標資料庫3、一影像辨識單元4、一中央處理器5、一無線單元7、一距離感測器8;先由影像擷取單元1、影像處理單元2、影像座標資料庫3之動作與影像辨識單元4之判斷,確定是否為目標物11,若是目標物11,並決定座標;無線單元7與中央處理器5連接,隨時收發資訊;參閱圖11,該新增無線單元7、距離感測器8之影像辨識確定座標裝置100安置於無人移動裝置9,無線單元7未接受資訊或目標物11未發出控制訊號時,該影像辨識確定座標裝置100,由中央處理器5控制,自主運作,決定座標,該座標即為無人移動裝置9之起始座標或現在座標,當目標物11送出控訊號,該訊號可以是目的座標訊號與影像資訊,而無線單元7收到訊號後,中央處理器5依目的座標、現在座標與距離感測器8之數據,計算路徑,並控制無人移動裝置9,移動到目的座標。 Referring to FIG. 9 , the image recognition determining coordinate device 100 of the wireless unit 7 and the distance sensor 8 includes an image capturing unit 1 , an image processing unit 2 , an image coordinate database 3 , and an image recognition unit 4 . a central processing unit 5, a wireless unit 7, and a distance sensor 8; firstly, the action of the image capturing unit 1, the image processing unit 2, the image coordinate database 3, and the image recognition unit 4 determine whether the target is a target The object 11 is the object 11 and determines the coordinates; the wireless unit 7 is connected to the central processing unit 5 to send and receive information at any time; referring to FIG. 11, the newly added wireless unit 7 and the image sensor of the distance sensor 8 determine the coordinates of the coordinate device 100. In the unmanned mobile device 9, when the wireless unit 7 does not receive the information or the target object 11 does not send a control signal, the image recognition determines the coordinate device 100, which is controlled by the central processing unit 5, operates autonomously, determines a coordinate, and the coordinate is an unmanned mobile device. The starting coordinate or the current coordinate of the 9th, when the target 11 sends the control signal, the signal can be the target coordinate signal and the image information, and after the wireless unit 7 receives the signal, the central processing unit 5 The coordinates of the destination coordinates, the current coordinates and the distance sensor 8, calculate the path, and control the unmanned mobile device 9, moving to the destination coordinates.
參閱圖10,新增無線單元7、影像追蹤單元51、基座6、距離感測器8之影像辨識確定座標裝置100,包括一影像擷取單元1、一影像處理單元2、一影像座標資料庫3、一影像辨識單元4、一中央處理器5、 一影像追蹤單元51、一基座6、無線單元7,以及一距離感測器8;先由影像擷取單元1、影像處理單元2、影像座標資料庫3之動作與影像辨識單元4之判斷,確定是否為目標物11,若是目標物11,由影像追蹤單元51計算與中央處理器5控制基座6,使目標物11在影像擷取單元1之鏡頭中心,並決定座標;無線單元7與中央處理器5連接,隨時收發資訊;參閱圖11,該新增無線單元7、影像追蹤單元51、基座6、距離感測器8之影像辨識確定座標裝置100安置於無人移動裝置9,無線單元7未接受資訊或目標物11未發出控制訊號時,該影像辨識確定座標裝置100,由中央處理器5控制,自主運作,決定座標,該座標即為無人移動裝置9之起始座標或現在座標,當目標物11送出控訊號,該訊號可以是目的座標訊號與影像資訊,而無線單元7收到訊號後,中央處理器5,依目的座標、現在座標與距離感測器8之數據,計算路徑,並控制無人移動裝置9,移動到目的座標。 Referring to FIG. 10, the image recognition determining coordinate device 100 of the wireless unit 7, the image tracking unit 51, the pedestal 6, and the distance sensor 8 includes an image capturing unit 1, an image processing unit 2, and an image coordinate data. a library 3, an image recognition unit 4, a central processing unit 5, An image tracking unit 51, a pedestal 6, a wireless unit 7, and a distance sensor 8; firstly, the action of the image capturing unit 1, the image processing unit 2, the image coordinate database 3, and the image recognition unit 4 Determining whether it is the target object 11. If it is the target object 11, the image tracking unit 51 calculates and controls the pedestal 6 with the central processing unit 5, so that the target object 11 is at the lens center of the image capturing unit 1, and determines the coordinates; the wireless unit 7 Connected to the central processing unit 5, the information is sent and received at any time. Referring to FIG. 11, the newly added wireless unit 7, the image tracking unit 51, the base 6, and the image recognition determining coordinate device 100 of the distance sensor 8 are disposed on the unmanned mobile device 9. When the wireless unit 7 does not receive the information or the target 11 does not send a control signal, the image recognition determines the coordinate device 100, which is controlled by the central processing unit 5 to operate autonomously and determine the coordinates, which is the starting coordinate of the unmanned mobile device 9 or Now the coordinates, when the target 11 sends the control signal, the signal can be the target coordinate signal and the image information, and after the wireless unit 7 receives the signal, the central processing unit 5, according to the coordinates of the object, the current seat 8 data from the sensors, calculates the path, and the control unmanned mobile device 9, move to the destination coordinates.
參閱圖11,無人移動裝置9經過目標物11時,因距離感測器8感測到目標物11,為確保安全距離,該距離感測器8,可以用雷達、紅外線方式感測,使移動路徑上呈現彎曲狀。 Referring to FIG. 11, when the unmanned mobile device 9 passes the target 11, the distance sensor 8 senses the target object 11. To ensure a safe distance, the distance sensor 8 can be sensed by radar or infrared rays to make the movement. The path is curved.
綜上所述,本案「影像辨識確定座標與導航裝置」,本案在產業上確實得以利用,於申請前未曾見於刊物或公開使用,且非為公眾所知悉之技術。再者,本案有效解決先前技術中長期存在的問題並達成相關使用者與消費者的需求。本案富具專利法規定之「產業利用性」、「新穎性」、「進步性」等要件,爰依法提請專利,懇請 鈞局詳查,並儘早為准予專利之審定,以保護申請人之智慧財產權。 To sum up, in this case, the "image identification determines the coordinates and navigation device", the case is indeed used in the industry, has not been seen in the publication or publicly used before the application, and is not known to the public. Furthermore, the case effectively solves the long-standing problems in the prior art and achieves the needs of relevant users and consumers. This case is rich in the "industry useability", "novelty", "progressiveness" and other requirements as stipulated in the Patent Law. The patents are submitted in accordance with the law, and the bureau is invited to investigate in detail, and the patents are approved as soon as possible to protect the wisdom of the applicants. property.
本案雖藉由前述實施例來描述,但仍可變化其型態與細節,於不脫離本案之精神而達成,並由熟悉此項技藝之人士可了解。前述本案之較佳實施例,僅係藉本案原理可以具體實施的方式之一,但並不以此為限制,應依後附之申請專利範圍所界定為準。 Although the present invention has been described in terms of the foregoing embodiments, it can be modified by the spirit and scope of the present invention and can be understood by those skilled in the art. The preferred embodiment of the present invention is only one of the ways in which the present invention can be implemented in a specific manner, but is not limited thereto, and should be defined in the scope of the appended patent application.
1‧‧‧影像擷取單元 1‧‧‧Image capture unit
2‧‧‧影像處理單元 2‧‧‧Image Processing Unit
3‧‧‧影像座標資料庫 3‧‧‧Image coordinate database
4‧‧‧影像辨識單元 4‧‧‧Image recognition unit
5‧‧‧中央處理單元 5‧‧‧Central Processing Unit
100‧‧‧影像辨識確定座標裝置 100‧‧‧Image recognition determining coordinate device
Claims (10)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
TW105203500U TWM541010U (en) | 2016-03-15 | 2016-03-15 | Image recognition coordinates determination and navigation device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
TW105203500U TWM541010U (en) | 2016-03-15 | 2016-03-15 | Image recognition coordinates determination and navigation device |
Publications (1)
Publication Number | Publication Date |
---|---|
TWM541010U true TWM541010U (en) | 2017-05-01 |
Family
ID=59370409
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
TW105203500U TWM541010U (en) | 2016-03-15 | 2016-03-15 | Image recognition coordinates determination and navigation device |
Country Status (1)
Country | Link |
---|---|
TW (1) | TWM541010U (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
TWI676812B (en) * | 2019-03-15 | 2019-11-11 | 東元電機股份有限公司 | Two-stage navigating system |
-
2016
- 2016-03-15 TW TW105203500U patent/TWM541010U/en not_active IP Right Cessation
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
TWI676812B (en) * | 2019-03-15 | 2019-11-11 | 東元電機股份有限公司 | Two-stage navigating system |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Lu et al. | Robust RGB-D odometry using point and line features | |
EP3507572B1 (en) | Apparatus and method for providing vehicular positioning | |
US9321173B2 (en) | Tracking and following people with a mobile robotic device | |
Lébraly et al. | Flexible extrinsic calibration of non-overlapping cameras using a planar mirror: Application to vision-based robotics | |
US9528828B2 (en) | Method and system for determining position and orientation of a measuring instrument | |
Acharya et al. | BIM-Tracker: A model-based visual tracking approach for indoor localisation using a 3D building model | |
US20110128388A1 (en) | Camera calibration system and coordinate data generation system and method thereof | |
JP6588413B2 (en) | Monitoring device and monitoring method | |
AU2013398544B2 (en) | A method of determining the location of a point of interest and the system thereof | |
WO2017201663A1 (en) | Moving object monitoring method, wearable apparatus, and server | |
US9437000B2 (en) | Odometry feature matching | |
TW201727537A (en) | Face recognition system and face recognition method | |
US11801602B2 (en) | Mobile robot and driving method thereof | |
RU2016138012A (en) | SYSTEM AND / OR METHOD OF RECOGNITION OF COATING FOR GLASS | |
WO2019046962A1 (en) | Method and system for target positioning and map update | |
KR20110084028A (en) | Apparatus and method for measuring distance using image data | |
TWI458532B (en) | System and method for detecting a shot direction of a light gun | |
Ruotsalainen et al. | Heading change detection for indoor navigation with a smartphone camera | |
JP4056777B2 (en) | Autonomous mobile object traveling system and autonomous mobile object position correction method | |
TWM541010U (en) | Image recognition coordinates determination and navigation device | |
KR20160125803A (en) | Apparatus for defining an area in interest, apparatus for detecting object in an area in interest and method for defining an area in interest | |
TW201621273A (en) | Mobile positioning apparatus and positioning method thereof | |
TW201814246A (en) | Image recognition coordinate confirmation and navigation device in which an image stored in an image coordinate database and an image processed by an image processing unit are used in the image recognition unit to determine a coordinate for a CPU to plan a navigation path | |
TW201732313A (en) | Image recognition coordinate determination and navigation device calculating according to a target coordinate, an initial coordinate and detected distance data to plan a navigation path | |
WO2023273427A1 (en) | Speed measurement method and apparatus based on multiple cameras |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
MM4K | Annulment or lapse of a utility model due to non-payment of fees |