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EN
The use of unmanned aerial vehicles (UAVs) is booming in almost every sector of the economy, especially in the agricultural industry. According to some reports, the agricultural UAV market is expected to increase from USD 2.6 billion in 2020 to USD9.5 billion in 2030. In this paper a brief overview devoted to the use of UAVs in the Russian State Agrarian University - Moscow Timiryazev Agricultural Academy (RSAU-MTAA), including the results of studying the equipment use effectiveness for automatic driving of tractor equipment when sowing grain crops and planting potatoes. In the course of studying the equipment use effectiveness for automatic driving of tractor equipment, the deviations of the guess row spacing from the standard row spacing provided for by the seeder design were established; in the case of sowing barley using a marker, it was up to 4.3 cm, and in the case of winter wheat it was up to 5 cm. When using the autopilot system, these values were no more than 1.5 and 2.3 cm, respectively, which indicates the high accuracy and efficiency of the automatic driving systems. The autopilot system use provided a deviation of adjacent rows from the straightness when planting potatoes from 2.8 to 3.0 cm. The paper concludes that the use of unmanned robotic systems in agriculture, in conjunction with modern means of receiving and processing information, opens up new opportunities for increasing agriculture efficiency.
EN
Driving comfort and performance is of vital importance to evaluate the control quality of an automatic driving system. The control quality and calibration of the automatic driving system not only affects comfort but also psychological load and tension. Therefore, this paper proposed an analysis method of driving comfort combined with subjective and objec- tive factors, including multidimensional analysis based on the velocity domain, acceleration energy and power analysis, perceived risk and deviation analysis. Moreover, the feature of typical uncomfortable manoeuvres is analysed and generates an intelligent identification al- gorithm. It has been found that the uncomfortable identification performance is excellent (the accuracy reached 99%).
PL
Tematem opracowania są aktywne systemy bezpieczeństwa czynnego, czyli takie, które są w stanie zbierać informacje o stanie pojazdu, przetwarzać je, a następnie generować sygnały ostrzegające kierowcę o możliwym zagrożeniu lub samoczynnie podejmować działania korygujące jego błędy, a w pewnym zakresie nawet przejmować sterowanie pojazdem. Omówione będą układy stabiliacji toru jazdy ESP, wspomagania nagłego hamowania BAS, sterowania jazdą w kolumnie ACC, ostrzegania o możliwości kolizji. Przedstawione będą możliwości integracji układów bezpieczeństwa czynnego i biernego oraz perspektywy automatyzacji kierowania samochodem.
EN
In the paper the primary safety systems are discussed. The active systems are able to collect different kind of information related to car movement, process this information, detect a danger of possible collision and finally warn a driver or in some cases even realise correction manoeuvre. Following systems are presented: electronic stability programme, brake assist system, adaptive cruise control, collision avoidance system lane keeping and pre-crash system.
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