WO2019101651A1 - Verfahren und vorrichtung zum betreiben eines mobilen systems - Google Patents
Verfahren und vorrichtung zum betreiben eines mobilen systems Download PDFInfo
- Publication number
- WO2019101651A1 WO2019101651A1 PCT/EP2018/081622 EP2018081622W WO2019101651A1 WO 2019101651 A1 WO2019101651 A1 WO 2019101651A1 EP 2018081622 W EP2018081622 W EP 2018081622W WO 2019101651 A1 WO2019101651 A1 WO 2019101651A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- mobile system
- tool
- profile
- operating
- desired trajectory
- Prior art date
Links
- 238000000034 method Methods 0.000 title claims abstract description 42
- 238000001514 detection method Methods 0.000 claims description 8
- 230000033001 locomotion Effects 0.000 claims description 4
- 238000004590 computer program Methods 0.000 claims description 2
- 238000011161 development Methods 0.000 description 8
- 230000018109 developmental process Effects 0.000 description 8
- 238000010586 diagram Methods 0.000 description 4
- 230000007613 environmental effect Effects 0.000 description 4
- 239000002689 soil Substances 0.000 description 4
- 238000013459 approach Methods 0.000 description 3
- 0 C*(CC1C2)C3C1[C@@]2C3 Chemical compound C*(CC1C2)C3C1[C@@]2C3 0.000 description 2
- 230000001133 acceleration Effects 0.000 description 2
- 238000005056 compaction Methods 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 235000019800 disodium phosphate Nutrition 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000005096 rolling process Methods 0.000 description 2
- CBABWQCCWBOAIM-GQCTYLIASA-N CCC/N=C/CP Chemical compound CCC/N=C/CP CBABWQCCWBOAIM-GQCTYLIASA-N 0.000 description 1
- 238000007630 basic procedure Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000007906 compression Methods 0.000 description 1
- 230000006835 compression Effects 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000009472 formulation Methods 0.000 description 1
- 238000002347 injection Methods 0.000 description 1
- 239000007924 injection Substances 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 239000005433 ionosphere Substances 0.000 description 1
- 238000002386 leaching Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 230000008635 plant growth Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 230000009885 systemic effect Effects 0.000 description 1
- 230000002123 temporal effect Effects 0.000 description 1
- 238000003971 tillage Methods 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
- G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
-
- 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
- G05D1/0246—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
- G05D1/0248—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 in combination with a laser
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01B—SOIL WORKING IN AGRICULTURE OR FORESTRY; PARTS, DETAILS, OR ACCESSORIES OF AGRICULTURAL MACHINES OR IMPLEMENTS, IN GENERAL
- A01B63/00—Lifting or adjusting devices or arrangements for agricultural machines or implements
- A01B63/002—Devices for adjusting or regulating the position of tools or wheels
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01B—SOIL WORKING IN AGRICULTURE OR FORESTRY; PARTS, DETAILS, OR ACCESSORIES OF AGRICULTURAL MACHINES OR IMPLEMENTS, IN GENERAL
- A01B69/00—Steering of agricultural machines or implements; Guiding agricultural machines or implements on a desired track
- A01B69/007—Steering or guiding of agricultural vehicles, e.g. steering of the tractor to keep the plough in the furrow
- A01B69/008—Steering or guiding of agricultural vehicles, e.g. steering of the tractor to keep the plough in the furrow automatic
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01B—SOIL WORKING IN AGRICULTURE OR FORESTRY; PARTS, DETAILS, OR ACCESSORIES OF AGRICULTURAL MACHINES OR IMPLEMENTS, IN GENERAL
- A01B79/00—Methods for working soil
- A01B79/005—Precision agriculture
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B62—LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS
- B62D—MOTOR VEHICLES; TRAILERS
- B62D15/00—Steering not otherwise provided for
- B62D15/02—Steering position indicators ; Steering position determination; Steering aids
- B62D15/025—Active steering aids, e.g. helping the driver by actively influencing the steering system after environment evaluation
-
- 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
- G05D1/0094—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots involving pointing a payload, e.g. camera, weapon, sensor, towards a fixed or moving target
-
- 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
-
- 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
- G05D1/0257—Control of position or course in two dimensions specially adapted to land vehicles using a radar
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01B—SOIL WORKING IN AGRICULTURE OR FORESTRY; PARTS, DETAILS, OR ACCESSORIES OF AGRICULTURAL MACHINES OR IMPLEMENTS, IN GENERAL
- A01B69/00—Steering of agricultural machines or implements; Guiding agricultural machines or implements on a desired track
Definitions
- the invention relates to a method for operating a mobile system.
- the invention further relates to an apparatus for operating a mobile system.
- the invention further relates to a computer program product.
- stereoscopic cameras two or more images of the same scene are shot from different camera positions. From the location of a particular scene point in at least two images, a spatial position with knowledge of intrinsic and extrinsic calibration parameters of the camera can be determined.
- distance-measuring systems can also be used to produce such surface profile cards, such as, for example, scanning lidar systems, time-of-flight cameras, etc.
- Runtime disturbances in the tropo- and ionosphere, orbital and clock errors of Satellites are corrected by means of so-called RTK (Real Time Kinematics) correction signals.
- Deviations may exist between the determined and actual position of the agricultural machine over ground (e.g., due to inclination, direction of travel, and their changes, etc.), which may be measured by means of acceleration sensors and gyroscopes, for example.
- the GPS, RTK, acceleration and gyroscope data are merged and processed in the so-called “Steering Controller” or in the IMU (Inertial Measurement Unit). For example, Kalman filters are used. Ultimately, hydraulic actuators of tools and / or a servo on the steering wheel, etc. are controlled.
- the object is achieved according to a first aspect with a method for operating a mobile system, comprising the steps:
- a defined action with the vehicle can be made in this way with knowledge of an exact three-dimensional surface profile of the route ahead of the mobile system or of a vehicle.
- a predicted trajectory of the vehicle can be determined which, taking into account mechanics, kinematics, hydraulics, etc., controls at least one actuator of the mobile system or of the vehicle performs.
- one of unevenness and ripples of the soil independent operation of the mobile system is supported.
- the object is achieved with a device for operating a mobile system, comprising:
- a sensor device for three-dimensional detection of an environment of the mobile system
- control device which is designed to control the mobile system and / or the tool of the mobile system according to the desired trajectory.
- a predictive actuator management is controlled, which optimally takes into account or compensates for any unevennesses or inhomogeneities of the traffic lane for the mobile system.
- the actuator management may include management for a tool or control of a tool of the mobile system.
- a further advantageous development of the method provides that at least one of the following is adjusted for the tool: height, orientation, inclination. In this way, the tool of the mobile system can be operated optimally adapted to the topology of the lane ahead.
- a further advantageous development of the method provides that in the event that can not be sufficiently maintained by means of the desired trajectory for the tool, is also intervened in a steering of the mobile system. As a result, an even better compensation of the unevenness of the preceding lane can be realized for the mobile system.
- a further advantageous development of the method provides that at least one of the following is used to detect the 3D profile:
- Lidar, radar, 3D camera, time-of-flight camera thereby can
- Detection characteristics are best adapted to the environment to be recorded.
- a further advantageous development of the method is characterized in that proper movements of the mobile system are calculated out of a camera image. In this way, it is possible to exclude wobble disturbances from the image, resulting in a calm image
- a further advantageous development of the method is characterized in that the determination of the desired trajectory and determination of corresponding actuator data are carried out by means of a single control device. As a result, advantageously latencies can be reduced, whereby the execution of the proposed method is possible as quickly as possible.
- Disclosed method features are analogous to corresponding disclosed device features and vice versa. This means
- Fig. 1 is a schematic block diagram of an embodiment of a
- FIG. 2 is a schematic system diagram for explaining an operation of the proposed method
- Fig. 3 shows three illustrations for explaining a principal
- Fig. 4 is another illustration for explaining a principal
- Fig. 5 is another illustration for explaining a principal
- Fig. 6 is a principle flow diagram of an embodiment of the proposed method.
- a central idea of the invention is in particular to provide an improved operation of a mobile system. It is provided, a detection of ground unevenness of a future lane of the mobile system, and based thereon, to perform timely / predictive feedforward control of elements (steering and / or tools) of the mobile system to reduce control deviations in GPS position. The resulting higher precision of
- FIG. 1 shows a schematic block diagram of an apparatus 100 for
- a mobile system 200 for example in the form of a
- the said mobile system 200 can be both manually controlled and automated or semi-automatic, autonomous or semi-autonomous trained.
- the mobile system can both have a tool used during driving for processing a landscape surface and can also be designed without tools.
- Prediction means 20 for determining a predicted trajectory for the mobile system 200 is connected.
- the prediction device 20 determines the predicted trajectory ("target trajectory") based on data of the detected 3D environmental profile.
- the prediction device 20 is functional with a
- Control device 30 is connected, by means of which at least one actuator of the mobile system 200 is driven according to the detected three-dimensional profile.
- actuators are controlled such that the mobile system 200 is guided as accurately as possible.
- a tool of the mobile system 200 e.g. a mower, construction tool, etc., which is functionally connected to the mobile system 200, is predictively piloted in knowledge of the three-dimensional surface profile and thereby act more uniform and therefore more efficient.
- the actuator eg wheel, tool
- Front area of the mobile system 200 installed.
- For landscape surfaces with plant growth e.g. using feature extraction and optional
- Object classification method the open space (usually furrows or solid lanes) recognized and marked as such as passable surface in principle.
- the trajectory for each wheel or tool of the mobile system 200 can be predicted.
- mobile systems 200 designed as agricultural machines drive as far as possible in the same lanes with respect to the processes to be carried out in order to compact as little floor space as possible and if possible not to damage any plants.
- the 3D surface profile card is not significantly changed by the weight of the vehicle / the machine.
- On first crossing (for example, through previously plowed / loosened soil, non-existent lanes or furrows) may on the first
- Section of the subsequent soil compaction are learned or is applied in advance. This soil compaction can e.g. be taken into account in the 3D surface profile map.
- Machines advantageous to lower minimum and maximum deviations from the desired trajectory of the vehicles and / or tools of vehicles.
- Control deviations can be learned and included in the feedforward control.
- the predicted and / or real data can optionally be stored in maps and used for the next crossing of the same or other vehicles and machines, for example in their predictive controls.
- an integration approach with a single electronic controller eg, microcontroller / micro-processes and ASIC / DSP
- this one-controller approach has advantages over jitter and latencies throughout the scheme
- Image processing algorithms and 3D maps require the software to run on high-performance, high-integration
- Microcontrollers / microprocessors and ASICs / DSPs are examples of microcontrollers / microprocessors and ASICs / DSPs.
- Environmental sensors for three-dimensional detection of the surface profile in front of the mobile system 200 provided, for example, one or more 3D cameras, time-of-flight cameras, etc., in a step 310 to create a high-resolution 3D surface profile.
- a detection range of the sensor device 10 essentially corresponds to a working range of the tool 210 of the mobile system 200.
- a determination of a predicted deviation from the predicted setpoint trajectory takes place.
- a step 340 pre-control values for a predictive actuator management of the mobile system 200 are determined.
- a step 350 a determination is made of a predictive manipulated variable component of the respective actuator.
- a step 360 kinematics and / or dynamics are taken into account by the mobile system and / or its tool. Furthermore, in a step 370, a control-technical transmission behavior of the control loop (s) of the work machine (vehicle and tool) is taken into account.
- Fig. 3 shows an explanation of a principle operation of the
- a respective mobile system 200 which is designed as an agricultural machine with a tool 210 arranged thereon (for example a mower deck).
- the mobile system 200 determined with a suitable sensor a 3D surface profile map of the route ahead and recorded in this way unevenness in the form of elevations 1 and wells 2. Due to the determined 3D surface profile a target trajectory ST for the tool 210 is determined and in the course of Lapse of the lane, the tool 210 is adjusted along the target trajectory ST.
- the tool 210 is already in the "right" position at the uneven parts of the lane due to a pre-control carried out and can thus act effectively.
- This principle is also shown in the illustration b) for depressions 2 and in the illustration c) for elevations 1 and depressions 2.
- this principle can also be used for a mobile system 200 without tools 210.
- Fig. 4 shows a further example of the operation of the proposed method, in which case the tool 210 follows a course of elevations 1, so that in this way e.g. an injection mold is guided at a defined height above a grain inventory of a field.
- FIG. 5 shows a further case, in which case the mobile system 200 repeatedly tilts along the traffic lane due to elevations 1 and depressions 2. Nevertheless, by means of the predicted determination of the target trajectory ST for the tool 210, it can always remain in the intended horizontal working position and thereby act effectively.
- Fig. 6 shows a basic procedure of the proposed method.
- a detection of a 3D profile of a preceding driving route of defined length is carried out.
- a determination of a target trajectory ST of the mobile system 200 and / or of a tool 210 of the mobile system 200 based on the detected 3D profile is performed.
- a defined operation of the mobile system 200 is performed taking into account the predicted trajectory ST along the route.
- the method according to the invention can be implemented as a software which can be used, for example, on the device 100 with the
- Control device 30 expires. A simple adaptability of the method is supported in this way.
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- General Physics & Mathematics (AREA)
- Aviation & Aerospace Engineering (AREA)
- Automation & Control Theory (AREA)
- Mechanical Engineering (AREA)
- Environmental Sciences (AREA)
- Soil Sciences (AREA)
- Electromagnetism (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Transportation (AREA)
- Optics & Photonics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Multimedia (AREA)
- Control Of Position, Course, Altitude, Or Attitude Of Moving Bodies (AREA)
Abstract
Description
Claims
Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US16/764,556 US20200278680A1 (en) | 2017-11-27 | 2018-11-16 | Method and Device for Operating a Mobile System |
BR112020010365-9A BR112020010365A2 (pt) | 2017-11-27 | 2018-11-16 | processo e dispositivo para operação de um sistema móvel |
CN201880076190.1A CN111373338A (zh) | 2017-11-27 | 2018-11-16 | 用于操作移动***的方法和设备 |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE102017221134.2A DE102017221134A1 (de) | 2017-11-27 | 2017-11-27 | Verfahren und Vorrichtung zum Betreiben eines mobilen Systems |
DE102017221134.2 | 2017-11-27 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2019101651A1 true WO2019101651A1 (de) | 2019-05-31 |
Family
ID=64332093
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/EP2018/081622 WO2019101651A1 (de) | 2017-11-27 | 2018-11-16 | Verfahren und vorrichtung zum betreiben eines mobilen systems |
Country Status (5)
Country | Link |
---|---|
US (1) | US20200278680A1 (de) |
CN (1) | CN111373338A (de) |
BR (1) | BR112020010365A2 (de) |
DE (1) | DE102017221134A1 (de) |
WO (1) | WO2019101651A1 (de) |
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US11641800B2 (en) | 2020-02-06 | 2023-05-09 | Deere & Company | Agricultural harvesting machine with pre-emergence weed detection and mitigation system |
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US11653588B2 (en) | 2018-10-26 | 2023-05-23 | Deere & Company | Yield map generation and control system |
US11672203B2 (en) | 2018-10-26 | 2023-06-13 | Deere & Company | Predictive map generation and control |
US11957072B2 (en) | 2020-02-06 | 2024-04-16 | Deere & Company | Pre-emergence weed detection and mitigation system |
US11079725B2 (en) | 2019-04-10 | 2021-08-03 | Deere & Company | Machine control using real-time model |
US11589509B2 (en) | 2018-10-26 | 2023-02-28 | Deere & Company | Predictive machine characteristic map generation and control system |
US11778945B2 (en) | 2019-04-10 | 2023-10-10 | Deere & Company | Machine control using real-time model |
US11503756B2 (en) | 2019-09-25 | 2022-11-22 | Cnh Industrial America Llc | System and method for determining soil levelness using spectral analysis |
US11904871B2 (en) * | 2019-10-30 | 2024-02-20 | Deere & Company | Predictive machine control |
US12035648B2 (en) | 2020-02-06 | 2024-07-16 | Deere & Company | Predictive weed map generation and control system |
US11558993B2 (en) * | 2020-03-26 | 2023-01-24 | Cnh Industrial America Llc | Soil monitoring system for an agricultural tillage implement |
US11477940B2 (en) | 2020-03-26 | 2022-10-25 | Deere & Company | Mobile work machine control based on zone parameter modification |
DE102020111958A1 (de) | 2020-05-04 | 2021-11-04 | Amazonen-Werke H. Dreyer SE & Co. KG | Verfahren zum Ermitteln eines Bewegungspfads für eine Landmaschine |
US11849672B2 (en) | 2020-10-09 | 2023-12-26 | Deere & Company | Machine control using a predictive map |
US11983009B2 (en) | 2020-10-09 | 2024-05-14 | Deere & Company | Map generation and control system |
US11711995B2 (en) | 2020-10-09 | 2023-08-01 | Deere & Company | Machine control using a predictive map |
US11727680B2 (en) | 2020-10-09 | 2023-08-15 | Deere & Company | Predictive map generation based on seeding characteristics and control |
US11874669B2 (en) | 2020-10-09 | 2024-01-16 | Deere & Company | Map generation and control system |
US11825768B2 (en) | 2020-10-09 | 2023-11-28 | Deere & Company | Machine control using a predictive map |
US11650587B2 (en) | 2020-10-09 | 2023-05-16 | Deere & Company | Predictive power map generation and control system |
US11675354B2 (en) | 2020-10-09 | 2023-06-13 | Deere & Company | Machine control using a predictive map |
US11946747B2 (en) | 2020-10-09 | 2024-04-02 | Deere & Company | Crop constituent map generation and control system |
US11849671B2 (en) | 2020-10-09 | 2023-12-26 | Deere & Company | Crop state map generation and control system |
US11871697B2 (en) | 2020-10-09 | 2024-01-16 | Deere & Company | Crop moisture map generation and control system |
US11895948B2 (en) | 2020-10-09 | 2024-02-13 | Deere & Company | Predictive map generation and control based on soil properties |
US11889788B2 (en) | 2020-10-09 | 2024-02-06 | Deere & Company | Predictive biomass map generation and control |
US11474523B2 (en) | 2020-10-09 | 2022-10-18 | Deere & Company | Machine control using a predictive speed map |
US11864483B2 (en) | 2020-10-09 | 2024-01-09 | Deere & Company | Predictive map generation and control system |
US11845449B2 (en) | 2020-10-09 | 2023-12-19 | Deere & Company | Map generation and control system |
US11592822B2 (en) | 2020-10-09 | 2023-02-28 | Deere & Company | Machine control using a predictive map |
US11635765B2 (en) | 2020-10-09 | 2023-04-25 | Deere & Company | Crop state map generation and control system |
US11927459B2 (en) | 2020-10-09 | 2024-03-12 | Deere & Company | Machine control using a predictive map |
US12013245B2 (en) | 2020-10-09 | 2024-06-18 | Deere & Company | Predictive map generation and control system |
US11844311B2 (en) | 2020-10-09 | 2023-12-19 | Deere & Company | Machine control using a predictive map |
US11889787B2 (en) | 2020-10-09 | 2024-02-06 | Deere & Company | Predictive speed map generation and control system |
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US5155775A (en) * | 1988-10-13 | 1992-10-13 | Brown C David | Structured illumination autonomous machine vision system |
WO2007051972A1 (en) * | 2005-10-31 | 2007-05-10 | Qinetiq Limited | Navigation system |
FR3039904A1 (fr) * | 2015-08-07 | 2017-02-10 | Inst De Rech Tech Jules Verne | Dispositif et procede pour la detection d’obstacles adaptes a un robot mobile |
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DE10227484A1 (de) * | 2002-06-19 | 2004-02-26 | Claas Selbstfahrende Erntemaschinen Gmbh | Vorrichtung und Verfahren zur Lagesteuerung eines Erntegutaufnahmegerätes landwirtschaftlicher Erntemaschinen |
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DE102014208070A1 (de) * | 2014-04-29 | 2015-12-17 | Deere & Company | Die Fahrzeugdynamik berücksichtigendes Kontrollsystem zur Positionssteuerung eines Geräts für ein landwirtschaftliches Arbeitsfahrzeug |
JP6321532B2 (ja) * | 2014-11-28 | 2018-05-09 | 株式会社デンソー | 車両の走行制御装置 |
DE102016208368A1 (de) * | 2016-05-17 | 2017-11-23 | Bayerische Motoren Werke Aktiengesellschaft | Verfahren, Vorrichtung und ein mobiles Anwendergerät zum Erzeugen einer Fahrerinformation im Zusammenhang mit zumindest einem Geländeartefakt |
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-
2017
- 2017-11-27 DE DE102017221134.2A patent/DE102017221134A1/de active Pending
-
2018
- 2018-11-16 BR BR112020010365-9A patent/BR112020010365A2/pt not_active Application Discontinuation
- 2018-11-16 WO PCT/EP2018/081622 patent/WO2019101651A1/de active Application Filing
- 2018-11-16 CN CN201880076190.1A patent/CN111373338A/zh active Pending
- 2018-11-16 US US16/764,556 patent/US20200278680A1/en not_active Abandoned
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US5155775A (en) * | 1988-10-13 | 1992-10-13 | Brown C David | Structured illumination autonomous machine vision system |
WO2007051972A1 (en) * | 2005-10-31 | 2007-05-10 | Qinetiq Limited | Navigation system |
FR3039904A1 (fr) * | 2015-08-07 | 2017-02-10 | Inst De Rech Tech Jules Verne | Dispositif et procede pour la detection d’obstacles adaptes a un robot mobile |
Also Published As
Publication number | Publication date |
---|---|
CN111373338A (zh) | 2020-07-03 |
DE102017221134A1 (de) | 2019-05-29 |
US20200278680A1 (en) | 2020-09-03 |
BR112020010365A2 (pt) | 2020-11-10 |
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