WO2004081598A2 - An active electro-optical device for detecting obstacles, in particular for autonomous navigation - Google Patents
An active electro-optical device for detecting obstacles, in particular for autonomous navigation Download PDFInfo
- Publication number
- WO2004081598A2 WO2004081598A2 PCT/IB2004/000601 IB2004000601W WO2004081598A2 WO 2004081598 A2 WO2004081598 A2 WO 2004081598A2 IB 2004000601 W IB2004000601 W IB 2004000601W WO 2004081598 A2 WO2004081598 A2 WO 2004081598A2
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- radiation
- objects
- reflected
- generated
- matrix
- 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.)
- Ceased
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
- G01S17/88—Lidar systems specially adapted for specific applications
- G01S17/93—Lidar systems specially adapted for specific applications for anti-collision purposes
- G01S17/933—Lidar systems specially adapted for specific applications for anti-collision purposes of aircraft or spacecraft
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
- G01S17/88—Lidar systems specially adapted for specific applications
- G01S17/93—Lidar systems specially adapted for specific applications for anti-collision purposes
- G01S17/931—Lidar systems specially adapted for specific applications for anti-collision purposes of land vehicles
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/48—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S17/00
- G01S7/4802—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S17/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
- G06T7/269—Analysis of motion using gradient-based methods
Definitions
- the present invention relates to an active electro- optical device for detecting obstacles, in particular for use in autonomous navigation systems for ground moving or flying units with multiple degrees of freedom.
- the invention relates to a device for detecting obstacles based on the measurement of the optical flow.
- One of the main problems for a device of this kind consists of perceiving the surrounding environment and reacting in timely fashion.
- the optical flow indicates the speed whereby elements with different contrast move in a scene, as a result of the relative motion between an observer and the objects present in the scene. If one
- ⁇ S considers an object moving with a relative speed v with respect to an observer and at an orthogonal distance d with respect to the observer, the optical flow is given by the ratio between the speed v and the distance d.
- 3D the following factors: resolution, field of view, frame-rate and sensitivity of the receiving means, distance between the receiver means and the objects present in the scene, - relative speed between the receiver means and the objects present in the scene.
- Electro-optical devices for detecting obstacles based on the measurement of the optical flow are
- Algorithms for measuring the optical flow are typically implemented in passive electro-optical
- ID devices i.e. devices which detect the radiation emitted by sources not included in the system (for instance, sun, moon, artificial lighting system, etc.) and reflected by the scene.
- sources not included in the system for instance, sun, moon, artificial lighting system, etc.
- reflected by the scene typically a small number of distinct sensors are used.
- receiver means constituted, by a great number of sensitive elements (for instance CCD or CMOS vision sensors) would require powerful computational units to implement the artificial vision algorithms. It must be
- 3D can it be used for optical flow computation.
- the object of the present invention is to provide an active electro-optical device for detecting obstacles which allows to reduce considerably the quantity of data on which optical flow algorithms for 5 obstacle detection are to be implemented. According to the present invention, said object is achieved by a device having the characteristics set out in the main claim.
- Figure 1 is a schematic view showing the operating principle of the device according to the ID present invention
- FIG. 1 is a block diagram of the device of Figure 1 .
- FIG. 3a and 3b schematically show a scene and the manner whereby the scene is detected by the device
- FIGS. 4a, 4b, 5a, 5b, 6a, 6b, 7a and 7b are schematic views of a scene and the manner whereby said scene is detected by some embodiments of the device according to the present invention
- ⁇ D - Figure 8 is a schematic view showing the arrangement of three devices according to the present invention for measuring the frontal and lateral optical flow with respect to the direction of motion, and
- FIG. 9 is a block diagram of an autonomous ⁇ S navigation system using an electro-optical device according to the present invention.
- FIGS 1 and 2 show the operating principle of the device according to the present invention.
- Said device comprises radiation emitter means 5, radiation receiver
- 3D means 1 which collect the radiation reflected by objects situated in the field of view (FOV) and means 8 for processing the electrical signals generated by the receiver means 1.
- the radiation receiver means 1 can be, for example, CMOS or CCD optical sensors with pixel
- the radiation emitter means 5 can, for example, be a semiconductor laser or a LED with narrow-band emission, centred around a wavelength in the visible, infrared or ultraviolet range.
- the radiation generated by the emitter means 5 is S designated by the reference number 7 and the radiation reflected by the objects present in the field of view is designated by the number 4. According to a characteristic of the present invention, the radiation beam 7 generated by the emitter means 5 is shaped in
- the device according to the present invention can use a cylindrical lens 6 which generates
- ⁇ D diffraction grating (not shown) can be used in combination with the cylindrical lens 6 to generate a set of rectangular beams, mutually parallel and angularly separated, or to form the beam in complex geometric figures.
- the device can be provided with a band-pass optical filter 2 with narrow band, with the transmittance peak centred at the emission peak of the
- the maximum distance of the objects that contribute to the optical flow detected by the receiver means 1 is determined by the intensity of the radiation emitted by the emitter means 5 (and hence by the emission power of
- Optical flow algorithms are implemented on the processing means 8 to determine at what speed the
- F.O. (F.O.) x x + (F.O.) y y where x and y are the versors respectively in the directions x and y.
- the optical flow can be measured using various parameters
- the gradient method is based on estimation of the spatial derivatives I x (x,y), I y (x,y) and time derivatives I t (x,y) associated to each point of the
- Figures 3a and 3b show an example of operation of the electro-optical device according to the present invention.
- Figure 3a schematically shows a scene with background at infinite distance in which two nearby objects are present, one with rectangular shape and the other one with circular shape.
- the device according to the present invention is made in such a way as to S illuminate a single row of pixels in the field of view of the receiver means.
- the strip in Figure 3a corresponds to the field of view illuminated by the emitter means.
- Figure 3b shows the information acquired by the
- the receiver means At the field of view illuminated by the emitter means, the receiver means detect, over time, the presence of nearby obstacles .
- the processing means 8 compute the optical flow only on the basis of the signals provided by the
- the radiation reflected by the objects and focused on the sensor matrix can impact a single row of sensors
- pixels or a sheaf of rows adjacent to each other.
- the device according to the present invention allows to define the maximum distance of the objects which contribute to the computation of the optical flow. Said distance is determined by the intensity of the radiation emitted by the emitter means, by the
- the device according to the present invention can therefore be calibrated in such a way as to limit to a predetermined value the maximum distance of the objects
- the system acquires a simplified information of the scene in which only the obstacles positioned in determined portions of the field of view (defined by the shape of the emitted beam) and within a S distance range defined by the power of the emitted beam, by the reflectance of the objects and by the sensitivity of the receiver means are highlighted.
- the radiation beam generated by the emitter is shaped in
- each row can impact a single array of sensors (pixels) of the matrix or a sheaf of mutually adjacent sensor arrays.
- the radiation beam generated by the emitter can be shaped in such a way that the radiation reflected by the objects and focused on the sensor matrix impacts a single column of the sensor matrix or a sheaf of
- the radiation beam generated by the emitter is shaped in such a way that the radiation reflected by the objects and focused on the sensor matrix impacts a plurality of mutually separated
- Each column can impact a single array of sensors or a sheaf of mutually adjacent sensor arrays.
- the radiation focused on the sensor matrix impacts one or more lines, parallel to the main direction of motion indicated by
- the radiation focused on the sensor matrix impacts a plurality of rows and a plurality of columns according to a general grid configuration.
- Each row and each 5 column can illuminate a single pixel array or a sheaf of mutually adjacent pixel arrays of the sensor matrix.
- the rows are parallel to a first component of the direction of motion 10 'and the columns are parallel to a second component of the direction of
- the radiation reflected by the objects and focused on the sensor matrix impacts a single plurality of inclined lines, parallel to the direction of motion 10.
- the radiation focused on the sensor matrix could impact a set of slanted lines, each parallel to one of the main directions of motion.
- the radiation generated by the emitter can also be shaped in such a way that the radiation reflected by
- the objects and focused on the sensor matrix impacts a set of sheaves of lines, where the lines of each sheaf are mutually parallel and parallel to one of the components of the motion, whilst the sheaves are not parallel to each other.
- the different sheaves can be
- ⁇ S generated by as many distinct sources of radiation.
- the radiation sources for the different sheaves can have mutually different peak wavelengths.
- the different sheaves of lines with the different wavelengths can be collected by distinct receivers.
- FIG. 8 shows an example of a system with three electro-optical devices 9 for measuring the
- the fields of view of the individual electro-optical devices 9 do not overlap.
- the devices 9 can be 5 positioned in such a way that the respective fields of view mutually overlap at least partially.
- One or more electro-optical devices according to the invention can be integrated with inertial measuring and locating devices to obtain integrated systems for
- FIG. 9 schematically shows an autonomous navigation system comprising a microprocessor computing unit 14, inertial measuring devices 11, course indicating devices 13, satellite
- the inertial measuring system 11 can be of the "strap-down" type with six degrees of freedom and constituted by three gyroscopes and three accelerometers with the axes
- the course indicating unit 13 can employ a three—axis magnetometer which measures the Earth's magnetic field.
- the satellite positioning unit 12 can be constituted by a GPS (or Galileo) receiver and antenna.
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Electromagnetism (AREA)
- Multimedia (AREA)
- Aviation & Aerospace Engineering (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Theoretical Computer Science (AREA)
- Optical Radar Systems And Details Thereof (AREA)
- Length Measuring Devices By Optical Means (AREA)
- Measurement Of Optical Distance (AREA)
- Photometry And Measurement Of Optical Pulse Characteristics (AREA)
- Glass Compositions (AREA)
- Liquid Crystal (AREA)
Abstract
Description
Claims
Priority Applications (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP04714394A EP1604224B1 (en) | 2003-03-14 | 2004-02-25 | An active electro-optical device for detecting obstacles, in particular for autonomous navigation |
| US10/522,802 US7202459B2 (en) | 2003-03-14 | 2004-02-25 | Active electro-optical device for detecting obstacles, in particular for autonomous navigation |
| AT04714394T ATE557297T1 (en) | 2003-03-14 | 2004-02-25 | ACTIVE ELECTRO-OPTICAL DEVICE FOR DETECTING AN OBSTACLE, IN PARTICULAR FOR AN AUTONOMOUS NAVIGATION SYSTEM |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| ITTO2003A000197 | 2003-03-14 | ||
| IT000197A ITTO20030197A1 (en) | 2003-03-14 | 2003-03-14 | ELECTRO-OPTICAL DEVICE ACTIVE FOR THE DETECTION OF |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| WO2004081598A2 true WO2004081598A2 (en) | 2004-09-23 |
| WO2004081598A3 WO2004081598A3 (en) | 2004-12-16 |
Family
ID=32983244
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/IB2004/000601 Ceased WO2004081598A2 (en) | 2003-03-14 | 2004-02-25 | An active electro-optical device for detecting obstacles, in particular for autonomous navigation |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US7202459B2 (en) |
| EP (1) | EP1604224B1 (en) |
| CN (1) | CN100383555C (en) |
| AT (1) | ATE557297T1 (en) |
| IT (1) | ITTO20030197A1 (en) |
| WO (1) | WO2004081598A2 (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1703352A1 (en) * | 2005-03-14 | 2006-09-20 | Delphi Technologies, Inc. | Vehicle mounted satellite tracking system |
| EP2101193A1 (en) | 2008-03-10 | 2009-09-16 | Sick Ag | Security system for contactless measurement of positions, paths and speeds |
Families Citing this family (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE10312611A1 (en) * | 2003-03-21 | 2004-09-30 | Daimlerchrysler Ag | Method and device for detecting an object in the environment of a motor vehicle |
| JP3846494B2 (en) * | 2004-07-13 | 2006-11-15 | 日産自動車株式会社 | Moving obstacle detection device |
| WO2013062401A1 (en) * | 2011-10-24 | 2013-05-02 | Dawson Yahya Ratnam | A machine vision based obstacle detection system and a method thereof |
| CN102506892B (en) * | 2011-11-08 | 2014-08-20 | 北京航空航天大学 | Configuration method for information fusion of a plurality of optical flow sensors and inertial navigation device |
| WO2015066560A1 (en) * | 2013-11-01 | 2015-05-07 | InvenSense, Incorporated | Systems and methods for optical sensor navigation |
| KR101913835B1 (en) * | 2016-10-27 | 2018-10-31 | 주식회사 에스오에스랩 | Obstacle detecting apparatus and method |
| US10663298B2 (en) * | 2017-06-25 | 2020-05-26 | Invensense, Inc. | Method and apparatus for characterizing platform motion |
| CN108399629B (en) * | 2018-02-05 | 2020-06-02 | 西南交通大学 | Image array optical flow estimation method of artificial compound eye camera |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0436213A2 (en) | 1990-01-02 | 1991-07-10 | Honeywell Inc. | Obstacle detection system |
| US5257209A (en) | 1990-06-26 | 1993-10-26 | Texas Instruments Incorporated | Optical flow computation for moving sensors |
| EP0626589A1 (en) | 1993-05-28 | 1994-11-30 | Bayerische Motoren Werke Aktiengesellschaft | Method of avoiding collisions between vehicles |
| EP0631109A1 (en) | 1993-06-03 | 1994-12-28 | FINMECCANICA S.p.A., RAMO AZIENDALE ALENIA | Passive image sensor navigation system |
| US5717792A (en) | 1993-09-13 | 1998-02-10 | Massachusetts Institute Of Technology | Object movement estimator using one-dimensional optical flow |
| US5798796A (en) | 1993-05-26 | 1998-08-25 | Victor Company Of Japan, Ltd. | Coding priority and non-priority image data to be less than a predetermined quantity |
| US20020005778A1 (en) | 2000-05-08 | 2002-01-17 | Breed David S. | Vehicular blind spot identification and monitoring system |
| US20020035419A1 (en) | 2000-08-05 | 2002-03-21 | Ching-Fang Lin | Autonomous navigation, guidance and control using LDRI |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5467122A (en) * | 1991-10-21 | 1995-11-14 | Arete Associates | Underwater imaging in real time, using substantially direct depth-to-display-height lidar streak mapping |
| CN1102255A (en) * | 1993-11-03 | 1995-05-03 | 宏技股份有限公司 | Intelligent vehicle navigation device |
| CA2237894C (en) | 1995-11-14 | 2007-06-19 | Arete Associates Inc. | Confocal-reflection streak lidar apparatus with strip-shaped photocathode, for application at a wide range of scales |
| EP1297486A4 (en) * | 2000-06-15 | 2006-09-27 | Automotive Systems Lab | OCCUPANT DETECTOR |
| CN1139786C (en) * | 2002-02-06 | 2004-02-25 | 何秀凤 | Autonomous positioning and directing navigator |
| CN1451946A (en) * | 2002-04-15 | 2003-10-29 | 中国大通实业有限公司 | Autonomous navigator for automotive global location system |
-
2003
- 2003-03-14 IT IT000197A patent/ITTO20030197A1/en unknown
-
2004
- 2004-02-25 WO PCT/IB2004/000601 patent/WO2004081598A2/en not_active Ceased
- 2004-02-25 EP EP04714394A patent/EP1604224B1/en not_active Expired - Lifetime
- 2004-02-25 AT AT04714394T patent/ATE557297T1/en active
- 2004-02-25 CN CNB2004800005921A patent/CN100383555C/en not_active Expired - Fee Related
- 2004-02-25 US US10/522,802 patent/US7202459B2/en not_active Expired - Fee Related
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0436213A2 (en) | 1990-01-02 | 1991-07-10 | Honeywell Inc. | Obstacle detection system |
| US5128874A (en) | 1990-01-02 | 1992-07-07 | Honeywell Inc. | Inertial navigation sensor integrated obstacle detection system |
| US5257209A (en) | 1990-06-26 | 1993-10-26 | Texas Instruments Incorporated | Optical flow computation for moving sensors |
| US5798796A (en) | 1993-05-26 | 1998-08-25 | Victor Company Of Japan, Ltd. | Coding priority and non-priority image data to be less than a predetermined quantity |
| EP0626589A1 (en) | 1993-05-28 | 1994-11-30 | Bayerische Motoren Werke Aktiengesellschaft | Method of avoiding collisions between vehicles |
| EP0631109A1 (en) | 1993-06-03 | 1994-12-28 | FINMECCANICA S.p.A., RAMO AZIENDALE ALENIA | Passive image sensor navigation system |
| US5717792A (en) | 1993-09-13 | 1998-02-10 | Massachusetts Institute Of Technology | Object movement estimator using one-dimensional optical flow |
| US20020005778A1 (en) | 2000-05-08 | 2002-01-17 | Breed David S. | Vehicular blind spot identification and monitoring system |
| US20020035419A1 (en) | 2000-08-05 | 2002-03-21 | Ching-Fang Lin | Autonomous navigation, guidance and control using LDRI |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1703352A1 (en) * | 2005-03-14 | 2006-09-20 | Delphi Technologies, Inc. | Vehicle mounted satellite tracking system |
| EP2101193A1 (en) | 2008-03-10 | 2009-09-16 | Sick Ag | Security system for contactless measurement of positions, paths and speeds |
Also Published As
| Publication number | Publication date |
|---|---|
| US20060091286A1 (en) | 2006-05-04 |
| EP1604224A2 (en) | 2005-12-14 |
| CN1697982A (en) | 2005-11-16 |
| ATE557297T1 (en) | 2012-05-15 |
| ITTO20030197A1 (en) | 2004-09-15 |
| EP1604224B1 (en) | 2012-05-09 |
| CN100383555C (en) | 2008-04-23 |
| WO2004081598A3 (en) | 2004-12-16 |
| US7202459B2 (en) | 2007-04-10 |
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