JPS6379005A - Position calculator for unmanned transport truck - Google Patents

Position calculator for unmanned transport truck

Info

Publication number
JPS6379005A
JPS6379005A JP61223696A JP22369686A JPS6379005A JP S6379005 A JPS6379005 A JP S6379005A JP 61223696 A JP61223696 A JP 61223696A JP 22369686 A JP22369686 A JP 22369686A JP S6379005 A JPS6379005 A JP S6379005A
Authority
JP
Japan
Prior art keywords
unmanned transport
transport truck
passage end
vanishing point
guided vehicle
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
JP61223696A
Other languages
Japanese (ja)
Other versions
JPH0760083B2 (en
Inventor
Hiroshi Saito
浩 斎藤
Kazunori Noso
千典 農宗
Kunihiko Kurami
倉見 邦彦
Norimasa Kishi
則政 岸
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nissan Motor Co Ltd
Original Assignee
Nissan Motor Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nissan Motor Co Ltd filed Critical Nissan Motor Co Ltd
Priority to JP61223696A priority Critical patent/JPH0760083B2/en
Priority to US07/100,581 priority patent/US4819169A/en
Publication of JPS6379005A publication Critical patent/JPS6379005A/en
Publication of JPH0760083B2 publication Critical patent/JPH0760083B2/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

Links

Abstract

PURPOSE:To enable the detection of the direction and position of an unmanned transport truck without use of a marker provided on a running road surface or the like, by detecting a fade-out position and a passage end position on an observing screen to calculate the direction of the unmanned transport truck and the distance from the passage end thereof. CONSTITUTION:An image taken by a photographing section (video camera) 101 is fed to a vanishing point detecting section 103 after being stored into an image memory 102 to calculate a fade-out position (X, Y). Then, with a direction calculating section 104, the direction theta of an unmanned transport truck is calculated using coordinates of the vanishing point position, the number of pixels of an observation image, pixel size thereof and the like. On the other hand, with a passage end detecting section 105, the position of a passage end is calculated on the basis of the contents of a memory A 102 to be stored into an image memory 106. Then, with a position calculating section 107, the position of the unmanned transport truck (distance from right and left passage ends) is calculated from the vanishing position (X, Y) and the passage end position stored in the memory 106. Thus, the direction theta and position information can be used to control the running so that the unmanned transport truck continues to run along a fixed length of line from the passage end.

Description

【発明の詳細な説明】 (産業上の利用分野) 本発明は、無人搬送車の走行制御を行うために無人搬送
車の方向と位置を算出する位置算出装置に関する。
DETAILED DESCRIPTION OF THE INVENTION (Field of Industrial Application) The present invention relates to a position calculation device that calculates the direction and position of an automatic guided vehicle in order to control the travel of the automatic guided vehicle.

(従来技術) 従来、工場内で部品や材料を搬送する無人搬送車が用い
られているが、この種の無人搬送車の走行方向と現在位
置を算出する方向位置算出装置には、走行路面や壁面に
センシング可能なライン状またはスポット状の目印(マ
ーカー)を設置し、無人搬送車に取付けた受光素子によ
ってそれらの目印を感知し、自車の方向および位置を算
出するようにしたものが知られている(たとえば特開昭
60−17306号)。
(Prior art) Conventionally, automatic guided vehicles have been used to transport parts and materials within factories, but the direction and position calculation device that calculates the traveling direction and current position of this type of automatic guided vehicle has a This is a system in which line-shaped or spot-shaped marks (markers) that can be sensed are installed on the wall, and those marks are sensed by a light-receiving element attached to the automatic guided vehicle to calculate the direction and position of the own vehicle. (for example, Japanese Patent Application Laid-Open No. 17306/1983).

このような従来の方向位置算出装置においては、地表や
壁面にマーカーを設置する惜造となっていたため、工場
のレイアウトを変更したり、増設したりする際、マーカ
ーの再設置を行わなければならず、また汚れに対する保
守管理も大変である。
With conventional direction position calculation devices like this, markers have to be installed on the ground or walls, so when changing the factory layout or expanding the factory, the markers must be reinstalled. Furthermore, maintenance and management to prevent dirt is difficult.

(発明の目的および構成) 本発明は、上記の点にかんがみてなされたもので、レイ
アウトの変更や増設に際してマーカーの再設置などをせ
ずに対応できる無人搬送車の走行制御システムを実現す
ることを目的とし、この目的を達成するために、観測画
面の消点位置と観測画面から通路端位置とを検出し、検
出した消点位置から無人搬送車の方向をまた検出した通
路端位置から無人搬送車の通路端からの距離を算出する
ように構成した。
(Objective and Structure of the Invention) The present invention has been made in view of the above points, and an object of the present invention is to realize a travel control system for an automatic guided vehicle that can cope with layout changes or additions without reinstalling markers. To achieve this purpose, we detect the vanishing point position of the observation screen and the path end position from the observation screen, and determine the direction of the automated guided vehicle from the detected vanishing point position and the direction of the unmanned guided vehicle from the detected path end position. The system is configured to calculate the distance from the end of the path of the transport vehicle.

(実施例) 以下、本発明を図面に基づいて説明する。(Example) Hereinafter, the present invention will be explained based on the drawings.

第1図は、本発明による方向位置算出装置の一実施例の
ブロック線図である。
FIG. 1 is a block diagram of an embodiment of a directional position calculation device according to the present invention.

まず構成を説明すると、本装置は、撮像部101、l!
影した画像をストアしておく画像メモリAlO2、画像
メモリAlO2の内容から観測画像の消点位置を検出す
る消点検出部103、検出した消点位置から無人搬送車
の方向を算出する方向算出部104、画像メモリAlO
2の内容から観測画像中の通路端位置を検出する通路端
検出部105、検出した通路端位置をストアしておく画
像メモリB106、検出した消点位置と通路端位置を用
いて無人搬送車の位置を算出する位置算出部107から
構成される。なお、上記101〜107はすべて無人搬
送車の台上に装備されている。
First, to explain the configuration, this device includes an imaging section 101, l!
An image memory AlO2 that stores shadowed images, a vanishing point detection unit 103 that detects the vanishing point position of the observed image from the contents of the image memory AlO2, and a direction calculation unit that calculates the direction of the automatic guided vehicle from the detected vanishing point position. 104, image memory AlO
A path end detection unit 105 detects the path end position in the observation image from the contents of 2, an image memory B 106 stores the detected path end position, and a path end detection unit 105 detects the path end position in the observation image. It is composed of a position calculation unit 107 that calculates a position. Note that all of the above-mentioned units 101 to 107 are installed on the platform of the automatic guided vehicle.

次に動作を脱力する。Next, relax your movements.

撮像部101から取り込んだ画像は、画像メモリAlO
2にストアされた後消点検出部103に送られ、消点位
置(X、Y)が算出される。消点位置の演算には、ハフ
(Hough )変換を用いるKenderにより提案
された方法や0htaらにより提案された画面内の2個
のテクスチャ構成要素の面積比から求める方法など、従
来知られている方法を用いる。こうして算出された消点
位置を用いて、方向算出部104において無人搬送車の
方向θが算出される。
The image captured from the imaging unit 101 is stored in the image memory AlO
2 and then sent to the vanishing point detection unit 103, where the vanishing point position (X, Y) is calculated. Conventionally known methods are used to calculate the vanishing point position, such as the method proposed by Kender using Hough transform and the method proposed by Ohta et al. Use methods. Using the vanishing point position thus calculated, the direction θ of the automatic guided vehicle is calculated in the direction calculation unit 104.

すなわち第2図(イ)において、Dlを無人搬送車の進
行方向、D2を消点方向、同図(ロ)に示すように、観
測画像をN画素×M画素とし、画素サイズをpXq、消
点位置の座標を(X、Y)、撮影部101がビデオカメ
ラである場合のレンズの焦点距離をfとすると、無人搬
送車の進行方向(消点方向とのなす角)θは次のように
算出され一方、通路端検出部105においては、画像メ
モリAlO2の内容に基づいて通路端の位置が算出され
る。
That is, in Fig. 2 (a), Dl is the traveling direction of the automatic guided vehicle, D2 is the direction of the vanishing point, and as shown in Fig. 2 (b), the observed image is N pixels x M pixels, and the pixel size is pXq, vanishing point. If the coordinates of the point position are (X, Y) and the focal length of the lens when the imaging unit 101 is a video camera is f, then the direction of movement of the automatic guided vehicle (the angle formed with the vanishing point direction) θ is as follows. Meanwhile, the path end detection section 105 calculates the position of the path end based on the contents of the image memory AlO2.

第3図および第4図は撮像部101を構成するビデオカ
メラを側面および上方から見た状態を線図的に示してあ
り、第3図に示すように、ビデオカメラ101の高さを
h1俯角をδ、レンズの垂直画角をω、とすると、P−
P’線が最近接床面下とレンズの焦点Mとの距離dは次
のようになる。
3 and 4 diagrammatically show the video camera constituting the imaging unit 101 as viewed from the side and from above. As shown in FIG. Let δ be the vertical angle of view of the lens and ω, then P−
The distance d between the bottom of the floor surface to which the P' line is closest and the focal point M of the lens is as follows.

一方、第4図に示すように、カメラ101の水平画角を
考慮すれば、通路端位置△およびBの座標が算出される
。こうして算出された通路端位置は、たとえば第5図に
示すような形で画像メモリ8106にストアされる。
On the other hand, as shown in FIG. 4, if the horizontal angle of view of the camera 101 is considered, the coordinates of the path end positions Δ and B can be calculated. The path end position calculated in this way is stored in the image memory 8106 in the form shown in FIG. 5, for example.

位置算出部107においては、消点検出部103で算出
された消点位置と画像メモリB106にストアされた通
路端位置とから無人搬送車の位置(通路端からの距@)
を算出する。
The position calculating unit 107 calculates the position of the automatic guided vehicle (distance from the end of the path) from the vanishing point position calculated by the vanishing point detecting unit 103 and the path end position stored in the image memory B106.
Calculate.

すなわち、通路端検出部105で算出した通路端位置が
、画像の最下段ラインのどの位置にあるかを第5図の点
A′およびC′のX座標XA。
That is, the position of the path end position calculated by the path end detection unit 105 on the lowest line of the image is determined by the X coordinate XA of points A' and C' in FIG.

Xoを読取ることによって次式によって無人搬送車の通
路端200および300までの距離W1およびW2を算
出することができる。
By reading Xo, distances W1 and W2 of the automatic guided vehicle to the path ends 200 and 300 can be calculated using the following equations.

ビデオカメラ101の水平画角の関係から点C′が画像
からはみ出してしまう場合には検出した一方の通路端3
00を延長し、最下段ラインとの交点を求めることによ
って、容易に点C′の座標を読み取ることができる。
If point C' protrudes from the image due to the horizontal angle of view of the video camera 101, one of the detected passage ends 3
By extending 00 and finding the intersection with the bottom line, the coordinates of point C' can be easily read.

このようにして算出した無人搬送車の方向および位置情
報はたとえば無人搬送車が通路端から一定の距離のライ
ン上を走行し続けるように走行制御するのに用いること
ができる。
The direction and position information of the automatic guided vehicle calculated in this manner can be used, for example, to control the automatic guided vehicle so that it continues to travel on a line at a constant distance from the end of the path.

(発明の効果) 以上説明したように、本発明に、おいては、観測画面の
消点位置と観測画面から通路端位置とを検出し、検出し
た消点位置から無人搬送車の方向をまた検出した通路端
位置から無人搬送車の通路端からの距離を算出するよう
に構成したので、従来のように走行路面や壁面に設けた
マーカーを用いずに無人搬送車の方向や位置が検出でき
るため工場のレイアウトを変更したり増設したりしても
マーカーを設置し直すとか祈たに設ける必要がなくて汎
用性が高く、設備コストが大幅に節減できるとともに、
保守管理の煩わしさが全くなくランニングコスト上も有
利である。
(Effects of the Invention) As explained above, in the present invention, the vanishing point position of the observation screen and the path end position are detected from the observation screen, and the direction of the automatic guided vehicle is crossed from the detected vanishing point position. The system is configured to calculate the distance of the automated guided vehicle from the end of the aisle based on the detected location of the end of the aisle, so the direction and position of the automated guided vehicle can be detected without using markers installed on the road or wall as in the past. Therefore, even if the layout of the factory is changed or expanded, there is no need to reinstall markers, making it highly versatile, and greatly reducing equipment costs.
There is no troublesome maintenance and management, and it is advantageous in terms of running costs.

【図面の簡単な説明】[Brief explanation of the drawing]

第1図は本発明による無人搬送車の位置検出装置の一実
施例のブロック線図、第2図は本発明による方向検出の
原理を説明する図、第3図および第4図は本発明による
通路端位置検出の原理を説明する図、第5図は通路端位
置の記憶状態を示す概念図である。
FIG. 1 is a block diagram of an embodiment of an automatic guided vehicle position detection device according to the present invention, FIG. 2 is a diagram explaining the principle of direction detection according to the present invention, and FIGS. 3 and 4 are according to the present invention. FIG. 5, which is a diagram explaining the principle of detecting the path end position, is a conceptual diagram showing the storage state of the path end position.

Claims (1)

【特許請求の範囲】[Claims] 観測画面から消点位置を検出する消点検出手段と、観測
画面から無人搬送車の通路端位置を検出する通路端検出
手段と、検出した消点位置から無人搬送車の進行方向を
算出するとともに検出した通路端位置から無人搬送車の
通路端からの距離を算出する位置算出手段とを有するこ
とを特徴とする無人搬送車の位置算出装置。
Vanishing point detection means for detecting the vanishing point position from the observation screen; Pathway end detection means for detecting the path end position of the automatic guided vehicle from the observation screen; and calculating the traveling direction of the automatic guided vehicle from the detected vanishing point position. 1. A position calculation device for an automatic guided vehicle, comprising: a position calculation means for calculating a distance of the automatic guided vehicle from a path end based on a detected path end position.
JP61223696A 1986-09-24 1986-09-24 Automatic guided vehicle position calculation device Expired - Fee Related JPH0760083B2 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
JP61223696A JPH0760083B2 (en) 1986-09-24 1986-09-24 Automatic guided vehicle position calculation device
US07/100,581 US4819169A (en) 1986-09-24 1987-09-24 System and method for calculating movement direction and position of an unmanned vehicle

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP61223696A JPH0760083B2 (en) 1986-09-24 1986-09-24 Automatic guided vehicle position calculation device

Publications (2)

Publication Number Publication Date
JPS6379005A true JPS6379005A (en) 1988-04-09
JPH0760083B2 JPH0760083B2 (en) 1995-06-28

Family

ID=16802217

Family Applications (1)

Application Number Title Priority Date Filing Date
JP61223696A Expired - Fee Related JPH0760083B2 (en) 1986-09-24 1986-09-24 Automatic guided vehicle position calculation device

Country Status (1)

Country Link
JP (1) JPH0760083B2 (en)

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH02115905A (en) * 1988-10-26 1990-04-27 Mazda Motor Corp Track controller for mobile vehicle
JPH02116908A (en) * 1988-10-27 1990-05-01 Mazda Motor Corp Image processor for moving car
JP2006261115A (en) * 2005-03-15 2006-09-28 Valeo Vision Small headlight for automobile
JP2008078034A (en) * 2006-09-22 2008-04-03 Stanley Electric Co Ltd Vehicular lighting tool
JP2009001277A (en) * 2008-09-06 2009-01-08 Rabo Sufia Kk Bicycle light using bulk lens
JP2009259449A (en) * 2008-04-14 2009-11-05 Advan Lighting:Kk Lighting module and method of manufacturing the same, and luminaire
US8220959B2 (en) 2000-05-08 2012-07-17 Farlight Llc Highly efficient luminaire having optical transformer providing precalculated angular intensity distribution and method therefore

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH02115905A (en) * 1988-10-26 1990-04-27 Mazda Motor Corp Track controller for mobile vehicle
JPH02116908A (en) * 1988-10-27 1990-05-01 Mazda Motor Corp Image processor for moving car
US8220959B2 (en) 2000-05-08 2012-07-17 Farlight Llc Highly efficient luminaire having optical transformer providing precalculated angular intensity distribution and method therefore
JP2006261115A (en) * 2005-03-15 2006-09-28 Valeo Vision Small headlight for automobile
JP2008078034A (en) * 2006-09-22 2008-04-03 Stanley Electric Co Ltd Vehicular lighting tool
JP2009259449A (en) * 2008-04-14 2009-11-05 Advan Lighting:Kk Lighting module and method of manufacturing the same, and luminaire
JP2009001277A (en) * 2008-09-06 2009-01-08 Rabo Sufia Kk Bicycle light using bulk lens

Also Published As

Publication number Publication date
JPH0760083B2 (en) 1995-06-28

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