Stereovision-based ridge-furrow detection and tracking for auto-guided cultivator
• A vision-based auto-ridge-tracking method for agricultural vehicles was developed. • Stereovision could detect the 3D image of inter-rows between ridges and furrows. • An image processing method suitable for use in the field environment was proposed. • Feasibility tests showed the algorithm functi...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Yun, Changho [verfasserIn] |
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| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2021 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Analytical heat transfer model for coaxial heat exchangers based on varied heat flux with borehole depth - Jia, Linrui ELSEVIER, 2022, COMPAG online : an international journal, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:191 ; year:2021 ; pages:0 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.compag.2021.106490 |
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| 520 | |a • A vision-based auto-ridge-tracking method for agricultural vehicles was developed. • Stereovision could detect the 3D image of inter-rows between ridges and furrows. • An image processing method suitable for use in the field environment was proposed. • Feasibility tests showed the algorithm functioned robustly in outdoor conditions. • Field tests using a riding-type cultivator confirmed real-time guidance performance. | ||
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stereovision-based ridge-furrow detection and tracking for auto-guided cultivator |
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Stereovision-based ridge-furrow detection and tracking for auto-guided cultivator |
| abstract |
• A vision-based auto-ridge-tracking method for agricultural vehicles was developed. • Stereovision could detect the 3D image of inter-rows between ridges and furrows. • An image processing method suitable for use in the field environment was proposed. • Feasibility tests showed the algorithm functioned robustly in outdoor conditions. • Field tests using a riding-type cultivator confirmed real-time guidance performance. |
| abstractGer |
• A vision-based auto-ridge-tracking method for agricultural vehicles was developed. • Stereovision could detect the 3D image of inter-rows between ridges and furrows. • An image processing method suitable for use in the field environment was proposed. • Feasibility tests showed the algorithm functioned robustly in outdoor conditions. • Field tests using a riding-type cultivator confirmed real-time guidance performance. |
| abstract_unstemmed |
• A vision-based auto-ridge-tracking method for agricultural vehicles was developed. • Stereovision could detect the 3D image of inter-rows between ridges and furrows. • An image processing method suitable for use in the field environment was proposed. • Feasibility tests showed the algorithm functioned robustly in outdoor conditions. • Field tests using a riding-type cultivator confirmed real-time guidance performance. |
| collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U |
| title_short |
Stereovision-based ridge-furrow detection and tracking for auto-guided cultivator |
| url |
https://doi.org/10.1016/j.compag.2021.106490 |
| remote_bool |
true |
| author2 |
Kim, Hak-Jin Jeon, Chan-Woo Gang, Minseok Lee, Won Suk Han, Jong Gyu |
| author2Str |
Kim, Hak-Jin Jeon, Chan-Woo Gang, Minseok Lee, Won Suk Han, Jong Gyu |
| ppnlink |
ELV008658315 |
| mediatype_str_mv |
z |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth oth oth oth oth |
| doi_str |
10.1016/j.compag.2021.106490 |
| up_date |
2024-07-06T19:15:10.894Z |
| _version_ |
1803858278765035520 |
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