JP2000097697A - Unmanned truck position detection system - Google Patents
Unmanned truck position detection systemInfo
- Publication number
- JP2000097697A JP2000097697A JP10272637A JP27263798A JP2000097697A JP 2000097697 A JP2000097697 A JP 2000097697A JP 10272637 A JP10272637 A JP 10272637A JP 27263798 A JP27263798 A JP 27263798A JP 2000097697 A JP2000097697 A JP 2000097697A
- Authority
- JP
- Japan
- Prior art keywords
- feature points
- guided vehicle
- automatic guided
- distance
- detected
- 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.)
- Pending
Links
- 238000001514 detection method Methods 0.000 title claims description 10
- 238000000034 method Methods 0.000 claims abstract description 12
- 230000003287 optical effect Effects 0.000 description 5
- 238000007796 conventional method Methods 0.000 description 3
- 230000003466 anti-cipated effect Effects 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 230000005674 electromagnetic induction Effects 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 240000004050 Pentaglottis sempervirens Species 0.000 description 1
- 235000004522 Pentaglottis sempervirens Nutrition 0.000 description 1
- 238000005520 cutting process Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 230000006698 induction Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 239000000696 magnetic material Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0231—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
- G05D1/0238—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using obstacle or wall sensors
- G05D1/024—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using obstacle or wall sensors in combination with a laser
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Optics & Photonics (AREA)
- Electromagnetism (AREA)
- Aviation & Aerospace Engineering (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Control Of Position, Course, Altitude, Or Attitude Of Moving Bodies (AREA)
- Optical Radar Systems And Details Thereof (AREA)
Abstract
Description
【0001】[0001]
【発明の属する技術分野】本発明は、無人搬送車位置検
出方式に関する。詳しくは、レーザレーダを用いて無人
搬送車の位置を検出する方式に関する。The present invention relates to an automatic guided vehicle position detection system. More specifically, the present invention relates to a method for detecting the position of an automatic guided vehicle using a laser radar.
【0002】[0002]
【背景技術】無人搬送車の位置検出方式には種々のガイ
ド誘導方式が提案されている。例えば、走行経路床面に
ケーブルを埋設し、これに高周波電流を流すことによっ
て発生した電磁波を車体に取り付けた2つのピックアッ
プコイルで検出して、コースずれを検知し、無人搬送車
をこのケーブルに沿って誘導させる電磁誘導方式があ
る。2. Description of the Related Art Various guide guidance methods have been proposed as position detection methods for an automatic guided vehicle. For example, a cable is buried in the floor of the traveling route, and electromagnetic waves generated by applying a high-frequency current to the cable are detected by two pickup coils attached to the vehicle body, a course deviation is detected, and an automatic guided vehicle is connected to this cable. There is an electromagnetic induction method for guiding along.
【0003】また、走行経路床面に光学反射テープ、磁
気テープを張りつけ、無人搬送車をこの光学反射テー
プ、磁気テープに沿って誘導させる光学誘導方式、磁気
誘導方式がある。[0003] There are also an optical guidance system and a magnetic guidance system in which an optical reflection tape or a magnetic tape is attached to the floor of a traveling route and an automatic guided vehicle is guided along the optical reflection tape or the magnetic tape.
【0004】[0004]
【発明が解決しようとする課題】しかしながら、上述し
た従来のガイド誘導方式には、以下の欠点がある。 (1)走行経路レイアウトの変更が困難 無人搬送車は、電線、光学反射テープ、磁気テープとい
った誘導線に沿って走行することしかできないため、走
行経路を変更する場合、これらの誘導線を敷設し直さな
ければならない。However, the above-described conventional guide guiding method has the following disadvantages. (1) It is difficult to change the travel route layout. Unmanned guided vehicles can only travel along guide lines such as electric wires, optical reflection tapes, and magnetic tapes. I have to fix it.
【0005】(2)誘導線が長距離になると工事費が増
大 誘導線の敷設費用は走行距離に比例するので、長距離に
なるほど費用が増大する。 (3)床面条件の制約 従来の方式は床面に電線を埋設したり、あるいはテープ
を貼り付ける必要があるので床面条件の制約がある。例
えば、電磁誘導方式の場合、電線を床面に埋設するので
床面のカッティング作業が必要となるため、床の薄い場
所では、このような作業はできない。[0005] (2) Construction cost increases when the length of the guide line is long. Since the installation cost of the guide line is proportional to the traveling distance, the cost increases as the length of the guide line increases. (3) Restriction on floor condition In the conventional method, it is necessary to embed an electric wire on the floor surface or to attach a tape, so there is a restriction on floor condition. For example, in the case of the electromagnetic induction method, since the electric wire is embedded in the floor surface, a cutting operation on the floor surface is required. Therefore, such an operation cannot be performed in a place where the floor is thin.
【0006】光学誘導方式の場合、光沢のある床面では
使用が困難であり、また反射テープに汚れがあると無人
搬送車の誘導に影響を与える。磁気誘導方式の場合、床
面に磁性体が存在する場合ではこれが無人搬送車の誘導
に影響を与え、コースを逸脱して走行してしまうおそれ
がある。さらに、これらの方式は非舗装経路、クリーン
ルームのような床面にメッシュが切られている経路では
使用することができない。In the case of the optical guidance system, it is difficult to use it on a glossy floor surface, and if the reflection tape is dirty, it affects the guidance of the automatic guided vehicle. In the case of the magnetic induction system, if a magnetic material is present on the floor surface, this may affect the guidance of the automatic guided vehicle, and may run off the course. In addition, these methods cannot be used on unpaved paths, or paths that have a mesh cut into the floor, such as clean rooms.
【0007】本発明は、このようなガイドを必要としな
い無人搬送車のガイドレス誘導方式としてレーザレーダ
を用いた方式を提供するものである。即ち、本発明は、
従来方式にて問題であったガイドの敷設工事を不要と
し、コースレイアウトの変更が容易で、敷設工事費を削
減することができる無人搬送車位置検出方式を提案する
ものであり、それにより、床面条件の影響も受けない。The present invention provides a system using a laser radar as a guideless guidance system for an automatic guided vehicle that does not require such a guide. That is, the present invention
It proposes an automatic guided vehicle position detection method that eliminates the need for laying work for guides, which was a problem in the conventional method, makes it easy to change the course layout, and can reduce laying work costs. It is not affected by surface conditions.
【0008】[0008]
【課題を解決するための手段】上記課題を解決する本発
明の無人搬送車位置検出方式は、無人搬送車に搭載した
走査型レーザレーダからレーザ光を水平面内で回転走査
し、走行環境に存在する特徴点からの反射光が帰還する
までの時間及びレーザ光の照射方向とから前記反射板ま
での距離及び方向を求める方法において、前記特徴点
は、距離の角度に対する変化率が一定値以上であり、且
つ、隣り合う2個の特徴点の間隔が指定された距離以上
であり、しかも、2つの特徴点を見込んだ角度が指定値
以上の大きさを持つものを検出することを特徴とする。An automatic guided vehicle position detecting method according to the present invention which solves the above-mentioned problems is to rotate and scan a laser beam in a horizontal plane from a scanning laser radar mounted on the automatic guided vehicle, and to detect the position in a traveling environment. In the method for determining the distance and direction to the reflecting plate from the time until the reflected light returns from the characteristic point and the irradiation direction of the laser light, the characteristic point is such that the rate of change of the distance to the angle is equal to or greater than a certain value. The method is characterized in that the distance between two adjacent feature points is greater than or equal to a specified distance, and the angle at which the two feature points are anticipated is greater than or equal to a specified value. .
【0009】[0009]
【発明の実施の形態】本発明は、無人搬送車のガイドレ
ス誘導方式として、レーザレーダを用いた方式を提案す
る。一般には、レーザレーダはレーザ光を測定対象物に
照射し、その反射光を検出し、照射から反射光検出まで
の時間差から測定対象物までの距離を測定する装置であ
る。DESCRIPTION OF THE PREFERRED EMBODIMENTS The present invention proposes a system using a laser radar as a guideless guidance system for an automatic guided vehicle. Generally, a laser radar is a device that irradiates a measurement target with laser light, detects reflected light thereof, and measures a distance to the measurement target from a time difference from irradiation to detection of reflected light.
【0010】本発明で用いるレーザレーダは、図1に示
すように、レーザ光を水平面状に回転走査する走査型レ
ーザレーダ10である。即ち、回転台1上に回転テーブ
ル2を回転自在に載置すると共にこの回転テーブル2上
に水平面に対し45度に傾いたミラー3を設置し、この
ミラー3の直上に水平面に対し45度に傾いたハーフミ
ラー4を配設し、更に、このハーフミラー4の直上、水
平方向側方にフォトダイオード5、レーザ6を設置した
ものである。As shown in FIG. 1, the laser radar used in the present invention is a scanning laser radar 10 which rotates and scans a laser beam in a horizontal plane. That is, the turntable 2 is rotatably mounted on the turntable 1, and a mirror 3 inclined at 45 degrees to the horizontal plane is installed on the turntable 2. An inclined half mirror 4 is provided, and a photodiode 5 and a laser 6 are installed immediately above the half mirror 4 and laterally in the horizontal direction.
【0011】従って、回転台1上の回転テーブル2、ミ
ラー3を矢印で示すように回転させつつ、レーザ6から
水平に出射されたレーザをハーフミラー3で垂直下方に
折り曲げ、更に、ミラー3で水平方向に折り曲げて、反
射板7へ投射するのである。そして、反射板7から反射
した光は、逆に、ミラー3で垂直上向きに折り曲げら
れ、ハーフミラー4を透過し、フォトダイオード5で検
出されることになる。Therefore, while rotating the turntable 2 and the mirror 3 on the turntable 1 as shown by arrows, the laser emitted horizontally from the laser 6 is bent vertically downward by the half mirror 3 and further turned by the mirror 3. It is bent in the horizontal direction and projected on the reflection plate 7. On the contrary, the light reflected from the reflection plate 7 is bent vertically upward by the mirror 3, passes through the half mirror 4, and is detected by the photodiode 5.
【0012】また、回転台1には、回転テーブル2の回
転角度を検出するエンコーダ、タコジェネレータ等が設
けられている。ここで、レーザーレーダ10は、光を遮
る物体があるところまでの距離が検出できるため、本発
明では、反射板を用いずに、無人搬送車の走行環境にあ
る特徴を検出して、位置・方位を検出するのである。こ
のようなレーザレーダ10を、無人搬送車に搭載し、レ
ーザレーダ10から車走行環境に複数存在する特徴点ま
での距離、方向を検出する。The turntable 1 is provided with an encoder for detecting a rotation angle of the turntable 2, a tachometer, and the like. Here, since the laser radar 10 can detect a distance to a place where an object that blocks light is present, the present invention detects a feature in the traveling environment of the automatic guided vehicle without using a reflection plate, and detects a position and a position. The direction is detected. Such a laser radar 10 is mounted on an automatic guided vehicle, and the distance and direction from the laser radar 10 to a plurality of characteristic points existing in the vehicle traveling environment are detected.
【0013】従って、この発明によれば、従来方式にて
問題であったガイドの敷設工事を不要とし、コースレイ
アウトの変更が容易で、敷設工事費を削減することがで
きる無人搬送車位置検出方式を提案するものであり、そ
れにより、床面条件の影響も受けない。Therefore, according to the present invention, there is no need to lay the guide, which has been a problem in the conventional method, the course layout can be easily changed, and the laying work cost can be reduced. Which is not affected by floor conditions.
【0014】[0014]
【実施例】以下、本発明について、図面に示す実施例を
参照して詳細に説明する。本発明の一実施例を図2、図
3に示す。図2に示すように無人搬送車20上にレーザ
ーレーダ10を搭載し、レーザーレーダ10からレーザ
光を水平面内で回転走査(スキャン)し、走行環境に存
在する柱、壁などによりつくられる角を抽出し、検出し
た角の位置データ(あらかじめ入力しておく)から位置
・方向を検出する。たとえば、図2の場合、レーザレー
ダによって特徴点(壁、柱などの角)は、(X1,
Y1),(X3,Y3),(X4,Y4)となる。DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, the present invention will be described in detail with reference to embodiments shown in the drawings. One embodiment of the present invention is shown in FIGS. As shown in FIG. 2, the laser radar 10 is mounted on the automatic guided vehicle 20, and the laser beam is rotationally scanned (scanned) in a horizontal plane by the laser radar 10, and a corner formed by columns, walls, and the like existing in the traveling environment is determined. The position and direction are detected from the extracted and detected position data of the corner (inputted in advance). For example, in the case of FIG. 2, the characteristic points (corners of walls, columns, etc.) are (X 1 ,
Y 1 ), (X 3 , Y 3 ), and (X 4 , Y 4 ).
【0015】そこで、本実施例では、反射板の代わり
に、3つの特徴点(X1,Y1),(X 3,Y3),
(X4,Y4)を用いて無人搬送車の位置を計算する。一
回のスキャンで得られるデータは、角度に対する物体ま
での距雌の組み合わせであり、このデータから(1)〜
(3)のようにして角を検出する。 (1)特徴点の抽出Therefore, in this embodiment, instead of the reflecting plate,
In addition, three feature points (X1, Y1), (X Three, YThree),
(XFour, YFour) Is used to calculate the position of the automatic guided vehicle. one
The data obtained in each scan is
It is a combination of distance females in this
The corner is detected as in (3). (1) Extraction of feature points
【0016】一回のスキャンで得られたデータから以下
の条件を溝足する点を特徴点とする。データは一定の角
度ごとに得られる。 Pi=|Li+Li+2−2Li+1|>Pth i=0,....m-2 ここで、Piは、|d2Li/dθi 2|に相当する。Pth
は、設定値である。A feature point is that the following conditions are added from data obtained by one scan. Data is obtained at certain angles. P i = | L i + L i + 2 −2L i + 1 |> P th i = 0,... M−2 where P i is equivalent to | d 2 L i / dθ i 2 | . P th
Is a set value.
【0017】(2)直線検出 検出した特徴点で隣り合った2個の特徴点を始点と終点
とし、その間隔が指定値以上であり、かつその間のすべ
ての点において、その点から始点と終点を見込んだ角と
180度との差が指定値以下のとき、2個の特徴点を始
点と終点とする直線であるとして検出する。 (3)角検出 特徴点が隣り合う2直線の始点または終点であるとき、
この点を角として検出する。(2) Straight line detection Two adjacent feature points of the detected feature points are defined as a start point and an end point, and the interval between them is equal to or more than a specified value, and at all points between them, the start point and the end point from that point. When the difference between the anticipated angle and 180 degrees is equal to or smaller than a specified value, the line is detected as a straight line having two feature points as a start point and an end point. (3) Angle detection When a feature point is the start point or end point of two adjacent straight lines,
This point is detected as a corner.
【0018】検出された角を特徴点として、無人搬送車
の位置を計算するには、種々の方法がある。例えば、予
め無人搬送車20の位置がわかっている場合には、無人
搬送車から最も近い2つ特徴点を選択し、選択した2つ
の特徴点から無人搬送車の位置を二次元連立方程式を解
くことにより求めることができる。There are various methods for calculating the position of the automatic guided vehicle using the detected corner as a feature point. For example, when the position of the automatic guided vehicle 20 is known in advance, two closest feature points from the automatic guided vehicle are selected, and the position of the automatic guided vehicle is solved from the selected two feature points into a two-dimensional simultaneous equation. Can be obtained by
【0019】また、特徴点の位置データが予めわかって
いる場合には、特徴点の位置データと検出された特徴点
との対応付けを行うことにより、検出誤差を削減するこ
とも可能である。更に、3つ以上の特徴点から無人搬送
車の位置をそれぞれ求め、その平均値の最大値が最も小
さくなる点を選択することも可能である。When the position data of the feature point is known in advance, the detection error can be reduced by associating the position data of the feature point with the detected feature point. Furthermore, it is also possible to determine the position of the automatic guided vehicle from each of three or more characteristic points, and select a point at which the maximum value of the average value is the smallest.
【0020】尚、上記実施例で検出した直線の端点(始
点、終点)を角の代わりに用いて、無人搬送車の位置を
計算することもできる。また、検出した角、端点及び反
射板をすべて用いて無人搬送車の位置を計算することも
可能である。Note that the position of the automatic guided vehicle can be calculated by using the end points (start point, end point) of the straight line detected in the above embodiment instead of the corners. Further, it is also possible to calculate the position of the automatic guided vehicle using all the detected corners, end points, and reflectors.
【0021】[0021]
【発明の効果】以上、実施例に基づいて具体的に説明し
たように、本発明によれば、ガイド誘導方式にて必要で
あった誘導線を不要とし、走行環境を加工することなく
無人搬送車の位置検出ができる。特に、反射板を設置す
る必要がないので、より簡単に施工できる利点がある。
また、特徴点として角の代わりに端点を用いることによ
り、簡便に位置検出が可能となり、更に、反射板と併用
すれば、正確な位置検出も可能となる。As described above in detail with reference to the embodiments, according to the present invention, the guide wire required in the guide guidance system is not required, and the unmanned transport without modifying the traveling environment. Car position can be detected. In particular, since there is no need to install a reflection plate, there is an advantage that construction can be performed more easily.
Further, by using the end points instead of the corners as the feature points, the position can be easily detected, and furthermore, when used in combination with the reflector, accurate position detection is also possible.
【図1】レーザレーダの構造図である。FIG. 1 is a structural diagram of a laser radar.
【図2】本発明の一実施例に係る無人搬送車の走行環境
を示す鳥瞰図である。FIG. 2 is a bird's-eye view showing a traveling environment of the automatic guided vehicle according to one embodiment of the present invention.
【図3】図2の平面図である。FIG. 3 is a plan view of FIG. 2;
1 回転台 2 回転テーブル 3 ミラー 4 ハーフミラー 5 フォトダイオード 6 レーザ Reference Signs List 1 turntable 2 turntable 3 mirror 4 half mirror 5 photodiode 6 laser
───────────────────────────────────────────────────── フロントページの続き Fターム(参考) 5H301 AA01 AA10 CC03 CC06 FF10 GG08 5J084 AA02 AA05 AA10 AB16 AC02 BA03 BA11 BA36 BB24 CA03 EA04 EA27 ──────────────────────────────────────────────────続 き Continued on the front page F term (reference) 5H301 AA01 AA10 CC03 CC06 FF10 GG08 5J084 AA02 AA05 AA10 AB16 AC02 BA03 BA11 BA36 BB24 CA03 EA04 EA27
Claims (1)
ダからレーザ光を水平面内で回転走査し、走行環境に存
在する特徴点からの反射光が帰還するまでの時間及びレ
ーザ光の照射方向とから前記特徴点までの距離及び方向
を求める方法において、前記特徴点は、距離の角度に対
する変化率が一定値以上であり、且つ、隣り合う2個の
特徴点の間隔が指定された距離以上であり、しかも、2
つの特徴点を見込んだ角度が指定値以上の大きさを持つ
ものを検出することを特徴とする無人搬送車位置検出方
式。1. A scanning laser radar mounted on an automatic guided vehicle scans a laser beam in a horizontal plane in a rotating plane, and returns a reflected light from a characteristic point existing in a traveling environment to a return direction and a laser beam irradiation direction. In the method for calculating the distance and the direction from the feature point to the feature point, the change rate of the feature point with respect to the angle is equal to or greater than a predetermined value, and the interval between two adjacent feature points is equal to or greater than the specified distance. Yes, and 2
An automatic guided vehicle position detection method that detects an object having an angle that is greater than a specified value in anticipation of two feature points.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP10272637A JP2000097697A (en) | 1998-09-28 | 1998-09-28 | Unmanned truck position detection system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP10272637A JP2000097697A (en) | 1998-09-28 | 1998-09-28 | Unmanned truck position detection system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| JP2000097697A true JP2000097697A (en) | 2000-04-07 |
Family
ID=17516708
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP10272637A Pending JP2000097697A (en) | 1998-09-28 | 1998-09-28 | Unmanned truck position detection system |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JP2000097697A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7660665B2 (en) | 2004-11-17 | 2010-02-09 | Hitachi, Ltd. | Autonomous mobile equipment and position-of-object and own position detecting system |
| WO2015120813A1 (en) * | 2014-02-13 | 2015-08-20 | 苏州工业园区艾吉威自动化设备有限公司 | Laser automatically guided vehicle (agv) without reflecting panel and navigation method thereof |
| CN105692021A (en) * | 2016-03-24 | 2016-06-22 | 合肥工业大学智能制造技术研究院 | STM-based intelligent control system for logistics storage rail guide vehicle and method thereof |
| WO2018223821A1 (en) * | 2017-06-07 | 2018-12-13 | 上海禾赛光电科技有限公司 | Multi-line laser radar |
| CN113917439A (en) * | 2014-08-15 | 2022-01-11 | 艾耶股份有限公司 | Method and system for lidar transmission |
-
1998
- 1998-09-28 JP JP10272637A patent/JP2000097697A/en active Pending
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7660665B2 (en) | 2004-11-17 | 2010-02-09 | Hitachi, Ltd. | Autonomous mobile equipment and position-of-object and own position detecting system |
| WO2015120813A1 (en) * | 2014-02-13 | 2015-08-20 | 苏州工业园区艾吉威自动化设备有限公司 | Laser automatically guided vehicle (agv) without reflecting panel and navigation method thereof |
| CN113917439A (en) * | 2014-08-15 | 2022-01-11 | 艾耶股份有限公司 | Method and system for lidar transmission |
| CN105692021A (en) * | 2016-03-24 | 2016-06-22 | 合肥工业大学智能制造技术研究院 | STM-based intelligent control system for logistics storage rail guide vehicle and method thereof |
| WO2018223821A1 (en) * | 2017-06-07 | 2018-12-13 | 上海禾赛光电科技有限公司 | Multi-line laser radar |
| US10845472B2 (en) | 2017-06-07 | 2020-11-24 | Hesai Photonics Technology Co., Ltd. | Multi-line laser radar |
| US11543503B2 (en) | 2017-06-07 | 2023-01-03 | Hesai Technology Co., Ltd. | Multi-line laser radar |
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