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Automatic guidance for agricultural vehicles in Europe

Identifieur interne : 000742 ( Istex/Corpus ); précédent : 000741; suivant : 000743

Automatic guidance for agricultural vehicles in Europe

Auteurs : R. Keicher ; H. Seufert

Source :

RBID : ISTEX:C6CD5B734CD0EBF7C0B4F5E42A2AE384C026B4FF

English descriptors

Abstract

Research activities concerning automatic guidance of agricultural vehicles — or implements — have led to various solutions. Sensors, including mechanical ones, global navigation satellite systems (GNSS), machine vision, laser triangulation, ultrasonic and geomagnetic, generate position, attitude and direction-of-movement information to supply control algorithms. Actuators, like hydraulic valves, are used to transform guidance information into changes of position and direction. In the European Union, depending on who is funding the project, the systems range from a PC, with a frame grabber or a GNSS receiver used to guide an implement along a predefined path with speeds up to 3 m/s, to a multiprocessor bifocal road recognition system for autonomous cars driving on motorways with a speed of 130 km/h. Research projects are performed in universities, governmental institutions and manufacturers’ laboratories, as well as in national and international consortia. This chapter provides an overview of guidance systems for agricultural vehicles or implements in Europe, without claims to completeness.

Url:
DOI: 10.1016/S0168-1699(99)00062-9

Links to Exploration step

ISTEX:C6CD5B734CD0EBF7C0B4F5E42A2AE384C026B4FF

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<note type="content">Fig. 1: Automatic side guiding equipment for a rotavator (Wulf, 1997).</note>
<note type="content">Fig. 2: The Autopilot in a standard tractor by Claas.</note>
<note type="content">Fig. 3: Amex’s 3D position determination (Holmqvist, 1993).</note>
<note type="content">Fig. 4: Modulaire autonomous vehicle (Nieminen et al. 1996).</note>
<note type="content">Fig. 5: Graph of the recorded tracks. X-axis: direction of travel, Y-axis: deviation of the programmed straight line at Y=0 (van Zuydam, 1999).</note>
<note type="content">Fig. 6: Rows of sugar beet detected by the vision system (Åstrand and Baerveldt, 1999).</note>
<note type="content">Fig. 7: Digitised image with guidelines.</note>
<note type="content">Fig. 8: The camera’s view of the field.</note>
<note type="content">Fig. 9: The position of the camera on the tractor relative to the plantation row (Lang, 1998).</note>
<note type="content">Fig. 10: Heading (right) and parallel displacement (left) of the vehicle seen in the image (Lang, 1998).</note>
<note type="content">Fig. 11: Online compressing of a coloured image into a stack of binary colour class images (Massen, 1996).</note>
<note type="content">Fig. 12: The Weihenstephan test frame to evaluate guidance control systems (Meyer, 1998).</note>
<note type="content">Fig. 13: Modular structure for a system to guide agricultural vehicle autonomously. The figuratively portrayed components indicate available elements (Jahns, 1997).</note>
<note type="content">Table 1: Components of a guidance system on an agricultural vehiclea</note>
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<abstract lang="en">Research activities concerning automatic guidance of agricultural vehicles — or implements — have led to various solutions. Sensors, including mechanical ones, global navigation satellite systems (GNSS), machine vision, laser triangulation, ultrasonic and geomagnetic, generate position, attitude and direction-of-movement information to supply control algorithms. Actuators, like hydraulic valves, are used to transform guidance information into changes of position and direction. In the European Union, depending on who is funding the project, the systems range from a PC, with a frame grabber or a GNSS receiver used to guide an implement along a predefined path with speeds up to 3 m/s, to a multiprocessor bifocal road recognition system for autonomous cars driving on motorways with a speed of 130 km/h. Research projects are performed in universities, governmental institutions and manufacturers’ laboratories, as well as in national and international consortia. This chapter provides an overview of guidance systems for agricultural vehicles or implements in Europe, without claims to completeness.</abstract>
<note type="content">Fig. 1: Automatic side guiding equipment for a rotavator (Wulf, 1997).</note>
<note type="content">Fig. 2: The Autopilot in a standard tractor by Claas.</note>
<note type="content">Fig. 3: Amex’s 3D position determination (Holmqvist, 1993).</note>
<note type="content">Fig. 4: Modulaire autonomous vehicle (Nieminen et al. 1996).</note>
<note type="content">Fig. 5: Graph of the recorded tracks. X-axis: direction of travel, Y-axis: deviation of the programmed straight line at Y=0 (van Zuydam, 1999).</note>
<note type="content">Fig. 6: Rows of sugar beet detected by the vision system (Åstrand and Baerveldt, 1999).</note>
<note type="content">Fig. 7: Digitised image with guidelines.</note>
<note type="content">Fig. 8: The camera’s view of the field.</note>
<note type="content">Fig. 9: The position of the camera on the tractor relative to the plantation row (Lang, 1998).</note>
<note type="content">Fig. 10: Heading (right) and parallel displacement (left) of the vehicle seen in the image (Lang, 1998).</note>
<note type="content">Fig. 11: Online compressing of a coloured image into a stack of binary colour class images (Massen, 1996).</note>
<note type="content">Fig. 12: The Weihenstephan test frame to evaluate guidance control systems (Meyer, 1998).</note>
<note type="content">Fig. 13: Modular structure for a system to guide agricultural vehicle autonomously. The figuratively portrayed components indicate available elements (Jahns, 1997).</note>
<note type="content">Table 1: Components of a guidance system on an agricultural vehiclea</note>
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<topic>Automatic guidance</topic>
<topic>Image processing</topic>
<topic>GNSS</topic>
<topic>Control</topic>
<topic>Agricultural vehicles</topic>
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<titleInfo>
<title>Computers and Electronics in Agriculture</title>
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<title>COMPAG</title>
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<genre type="journal">journal</genre>
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<dateIssued encoding="w3cdtf">200001</dateIssued>
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<identifier type="ISSN">0168-1699</identifier>
<identifier type="PII">S0168-1699(00)X0041-5</identifier>
<part>
<date>200001</date>
<detail type="volume">
<number>25</number>
<caption>vol.</caption>
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<detail type="issue">
<number>1–2</number>
<caption>no.</caption>
</detail>
<extent unit="issue pages">
<start>1</start>
<end>194</end>
</extent>
<extent unit="pages">
<start>169</start>
<end>194</end>
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</part>
</relatedItem>
<identifier type="istex">C6CD5B734CD0EBF7C0B4F5E42A2AE384C026B4FF</identifier>
<identifier type="DOI">10.1016/S0168-1699(99)00062-9</identifier>
<identifier type="PII">S0168-1699(99)00062-9</identifier>
<accessCondition type="use and reproduction" contentType="copyright">©1999 Elsevier Science B.V.</accessCondition>
<recordInfo>
<recordContentSource>ELSEVIER</recordContentSource>
<recordOrigin>Elsevier Science B.V., ©1999</recordOrigin>
</recordInfo>
</mods>
</metadata>
<serie></serie>
</istex>
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