Analysis of straw row in the image to control the trajectory of the agricultural combine harvester (Erratum)

Aleksandr Yurievich Shkanaev; Darya Alekseevna Krokhina; Dmitry Valerevich Polevoy; Aleksei Vladimirovich Panchenko; Dmitry Lvovitch Sholomov; Rinat Nailevish Sadekov

doi:10.1117/12.2310143

13 April 2018 Analysis of straw row in the image to control the trajectory of the agricultural combine harvester (Erratum)

Aleksandr Yurievich Shkanaev, Darya Alekseevna Krokhina, Dmitry Valerevich Polevoy, Aleksei Vladimirovich Panchenko, Dmitry Lvovitch Sholomov, Rinat Nailevish Sadekov

Author Affiliations +

Proceedings Volume 10696, Tenth International Conference on Machine Vision (ICMV 2017); 1069602 (2018) https://doi.org/10.1117/12.2310143
Event: Tenth International Conference on Machine Vision, 2017, Vienna, Austria

Abstract

Publisher’s Note: This paper, originally published on 13 April 2018, was replaced with a corrected/revised version on 14 September 2018. If you downloaded the original PDF but are unable to access the revision, please contact SPIE Digital Library Customer Service for assistance. The paper proposes a solution to the automatic operation of the combine harvester along the straw rows by means of the images from the camera, installed in the cab of the harvester. The U-Net is used to recognize straw rows in the image. The edges of the row are approximated in the segmented image by the curved lines and further converted into the harvester coordinate system for the automatic operating system. The “new” network architecture and approaches to the row approximation has improved the quality of the recognition task and the processing speed of the frames up to 96% and 7.5 fps, respectively. Keywords: Grain harvester,

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Aleksandr Yurievich Shkanaev, Darya Alekseevna Krokhina, Dmitry Valerevich Polevoy, Aleksei Vladimirovich Panchenko, Dmitry Lvovitch Sholomov, and Rinat Nailevish Sadekov "Analysis of straw row in the image to control the trajectory of the agricultural combine harvester (Erratum)", Proc. SPIE 10696, Tenth International Conference on Machine Vision (ICMV 2017), 1069602 (13 April 2018); https://doi.org/10.1117/12.2310143

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