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The don conducted the first tests of unmanned harvester
The company Cognitive Technologies, which is developing an unmanned control system for vehicles "KAMAZ" together with Rostselmash conducted a field test of unmanned harvesters
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This was told in the press service of the developer company. "We were the first in Russia conducted a field test of harvester unmanned. The work was carried out in the Rostov region together with Cognitive Technologies of Rostselmash. Automatic driving Cognitive Agro Pilot was installed on the experimental sample of the Torum combine RSM 181", – stated in the message.

For the development of unmanned systems, which is based on technology associated with neural networks, took more than five years. The company noted that in the Russian version uses only one camera, unlike their foreign counterparts, which use laser scanners for motion along the edge of the field and the stereo camera to work at felling (cut and folded in a number of crops).

"In the end we have the cost of equipment three to four times less. This gives us a significant competitive advantage, especially now when we actively enter the international market", – quotes the press service of the President of group of companies Cognitive Technologies Olga Uskov.

Technological process control unmanned harvester is arranged so that its movement is carried out on the edge of the field or stacked along the roll. Artificial intelligence system signals that it sees an edge, or a roll and ready to take over. The driver in this message, just press the button of the autopilot for control transfer and confirmation of this action.

Fully Autonomous harvester company hopes to create to 2023-2024 year. Work on the project of Cognitive Technologies is conducting in agreement with the Ministry of education and science in the framework of the Federal target program "Research and development on priority directions of development of scientific-technological complex of Russia for 2014-2020". For the implementation of the technological part of the project office was allocated 34 million rubles.

Photo: rosng.ru



Translated by service "Yandex.Translation"
Источники: ТАСС
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