Processing statistical data about UAV operator errors

Kozhokhina, Olena; Gribov, Victor; Blahaia, L. V.

doi:10.1109/apuavd.2015.7346578

Cited by 3 publications

(4 citation statements)

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“…In [4][5][6][7][8], factors are considered that affect the preparation and quality of exploitation of unmanned platforms by operators. So, the effect of spatial capabilities obtained by the operator through the use of UAVs was evaluated in [4].…”

Section: Review Of Previous Researchesmentioning

confidence: 99%

“…In [6], the UAV operator errors were presented in the form of a chi-square curve of the Pearson distribution, obtained by constructing a histogram of the probability density of measurements of errors in operator activity.…”

Section: Review Of Previous Researchesmentioning

confidence: 99%

“…Expressions 3, (4), (6), and taking into account (1) -(5) as well, provide finding the threshold Jmin.…”

Section:  − mentioning

confidence: 99%

“…The initial data accepted as the norm are given in Table I. Following the procedure described in the solution section and formulas (3), (4), (6) for N = 7, we found weight coefficients that satisfy the consistency condition for the initial matrices of pairwise comparisons (Table 1). Using the hierarchy analysis method [26], weights were determined that satisfy the consistency condition for the initial matrices of pairwise comparisons A.…”

Section: Numerical Examplesmentioning

confidence: 99%

See 3 more Smart Citations

Assessing the Operator’s Readiness to Perform Tasks of Controlling by the Unmanned Aerial Platforms

Kucherov¹,

Sushchenko²,

Kozub³

et al. 2020

Adv. sci. technol. eng. syst. j.

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Together with the intensity of development in the field of technology of unmanned platforms and their effective use for solving various tasks of peacetime and war, the requirements for the training of the operator managing the platform also increase. This fully applies to personnel providing the flight of manned means. Nevertheless, there are significant differences in the requirement of operator preparedness for an unmanned platform. This is, first of all, control in conditions of remoteness from an unmanned platform, orientation on the display of the control panel, delays in the passage of information, and possibly a complete loss of communication. In such conditions, the requirements for the reaction time of the operator increase, he must also have the ability to anticipate the development of the situation, be able to work with available equipment for a long time. These and several other criteria determine the general criterion of operator productivity, which is introduced in the work. The productivity criterion is a linear convolution function of particular criteria with some weighting factors, the exact values of which are unknown. A detailed analysis of particular criteria made it possible to establish their inconsistency and heterogeneity. The article proposes an approach that allows us to eliminate the inconsistency of local criteria by separately calculating weight coefficients for each part based on the hierarchy analysis method. The basic properties of the proposed approach are also given; modeling confirms the correctness of the solutions. This approach can be useful in the certification of operators of various fields of activity.

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