Computer Vision in Control Systems-3 by Margarita N. Favorskaya & Lakhmi C. Jain

Computer Vision in Control Systems-3 by Margarita N. Favorskaya & Lakhmi C. Jain

Author:Margarita N. Favorskaya & Lakhmi C. Jain
Language: eng
Format: epub
Publisher: Springer International Publishing, Cham


6.8 Use of Functional Criteria Model

In order to analyze the specified problem, the criteria models of the UAV flight safety and classes x 3 , x 4 recognition reliability should be formulated. To make the investigation of these criteria simpler, the sigmoid curves, which describe a behavior of the criteria alteration quite plausibly, are selected. The heuristic models for describing the UAV safety and class recognition (identification) errors can be represented as follows.

Criterion 1. At low flight altitudes (for example, lower than 50 m), the flight safety is considerably influenced by the objects (the OIs) located close to or on the trajectory of the UAV flight path. These objects are buildings and structures, trees and bushes, power transmission towers, etc.

Assume that a relative safety W su of the UAV alters a dependence of the flight altitude in a range of 0–1 and it can be calculated according to Eq. 6.8, where k su is an empirical quotient that is determined based on the conditions of the flight, h and h su are the altitude of the UAV flight and the altitude of a flight, when a safety of the flight equals 0.5, respectively, su is the index of the flight safety criterion.



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