Abstract
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To develop robust algorithms for agricultural navigation, different growth stages of the plants have to be considered. For fast validation and repeatable testing of algorithms, a dataset was recorded by a 4 wheeled robot, equipped with a frame of different sensors and was guided through maize rows. The robot position was simultaneously tracked by a total station, to get precise reference of the sensor data. The plant position and parameters were measured for comparing the sensor values. A horizontal laser scanner and corresponding total station data was recorded for 7 times over a period of 6 weeks. It was used to check the performance of a common RANSAC row algorithm. Results showed the best heading detection at a mean growth height of 0.268 m. | |
International
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Si |
Congress
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Robot 2015: Second Iberian Robotics Conference |
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960 |
Place
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Lisbon |
Reviewers
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Si |
ISBN/ISSN
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9783319271453 |
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Start Date
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19/11/2015 |
End Date
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21/11/2015 |
From page
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371 |
To page
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382 |
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Advances in Intelligent Systems and Computing |