Measurement of aircraft approach using airfield image

Pieniazek, Jacek

doi:10.1016/j.measurement.2019.03.074

Cited by 11 publications

(4 citation statements)

References 16 publications

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“…Pilots analyse the position of the runway centerline, its extension, and the threshold in relation to the aircraft. In this way, they are able to estimate deviations from the desired trajectory, course, etc.the installed runway lights (including the Calvert system) assist them in this activity (Pieniazek, 2018(Pieniazek, , 2019Oszust et al, 2018;Rzucidło et al, 2018).…”

Section: Determination Of Lateral Deviationmentioning

confidence: 99%

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The use of vision system to determine lateral deviation from landing trajectory

Rogalski,

Rzucidło,

Noga

et al. 2023

AEAT

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Purpose This study presents an image processing algorithm capable of calculating selected flight parameters requested by flight control systems to guide aircraft along the horizontal projection of the landing trajectory. The parameters identified based on the basics of the image of the Calvert light system appearing in the on-board video system are used by flight control algorithms that imitate the pilot’s schematics of control. Controls were generated using a fuzzy logic expert system. This study aims to analyse an alternative to classical solutions that can be applied to some specific cases. Design/methodology/approach The paper uses theoretical discussions and breakdowns to create the basics for the development of structures for both image processing algorithms and control algorithms. An analytical discussion on the first stage was transformed into laboratory rig tests using a real autopilot unit. The results of this research were verified in a series of software-in-the-loop computer simulations. Findings The image processing method extracts the most crucial parameters defining the relative position of the aircraft to the runway, as well as the control algorithm that uses it. Practical implications In flight control systems that do not use any dedicated ground or satellite infrastructure to land the aircraft. Originality/value This paper presents the original approach of the author to aircraft control in cases where visual signals are used to determine the flight trajectory of the aircraft.

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Section: Determination Of Lateral Deviationmentioning

confidence: 99%

“…In this way, they are able to estimate deviations from the desired trajectory, course, etc. – the installed runway lights (including the Calvert system) assist them in this activity (Pieniazek, 2018, 2019; Oszust et al , 2018; Rzucidło et al , 2018).…”

Section: Determination Of Lateral Deviationmentioning

confidence: 99%

The use of vision system to determine lateral deviation from landing trajectory

Rogalski,

Rzucidło,

Noga

et al. 2023

AEAT

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“…During landing, pilots of manned aircraft observe the runway and runway signs-if present-constantly and very carefully. In this way, they are able to assess actual deviation from the required glide path angle [26,27,[34][35][36][37]. It is assumed, that the developed system should be capable of estimating a deviation from the desired landing trajectory using of the picture of the runway, marked with its signs, just as human pilots do.…”

Section: Determination Of Aircraft Position Vertical Deviation From T...mentioning

confidence: 99%

Fixed Wing Aircraft Automatic Landing with the Use of a Dedicated Ground Sign System

et al. 2021

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The paper presents automatic control of an aircraft in the longitudinal channel during automatic landing. There are two crucial components of the system presented in the paper: a vision system and an automatic landing system. The vision system processes pictures of dedicated on-ground signs which appear to an on-board video camera to determine a glide path. Image processing algorithms used by the system were implemented into an embedded system and tested under laboratory conditions according to the hardware-in-the-loop method. An output from the vision system was used as one of the input signals to an automatic landing system. The major components are control algorithms based on the fuzzy logic expert system. They were created to imitate pilot actions while landing the aircraft. Both systems were connected with one another for cooperation and to control an aircraft model in a simulation environment. Selected results of tests presenting control efficiency and precision are shown in the final section of the paper.

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“…This type of system was proposed in the paper “A Robust Vision-Based Runway Detection and Tracking Algorithm for Automatic UAV Landing” [ 16 ]. In the article “Measurement of Aircraft Approach Using Airfield Image” [ 17 ], the proposed algorithm used the coordinates of the four corners of the runway to determine the position of the aircraft. When analyzing the literature describing the measuring of the aircraft position on the approach path, we could also distinguish methods where calculations were performed based on the vanishing point, formed by the longitudinal edges of the runway and the angles between the individual runway sides, as presented in the paper “Vision-Integrated Navigation System for Aircraft Final Approach in Case of GNSS/SBAS or ILS Failures” [ 18 ].…”

Section: Introductionmentioning

confidence: 99%

Vision System Measuring the Position of an Aircraft in Relation to the Runway during Landing Approach

Kordos

Krzaczkowski

Rzucidło

et al. 2023

Sensors

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This paper presents a vision system that measures the position of an aircraft relative to the runway (RWY) during a landing approach. It was assumed that all the information necessary for a correct approach was based entirely on an analysis of the image of the runway and its surroundings. It was assumed that the way the algorithm works, as well as possible, should imitate the pilot’s perception of the runway. Taking into account the above and the fact that the infrastructure at each airport is different, it has been decided to use artificial neural networks with a dedicated learning process for any airport, based on the simulation environments. Such an action will enable the generation of a synthetic video sequence without the need for costly and time-consuming flights. The presented solution was tested in real flight conditions on an experimental aircraft, and the selected test results are presented in this article.

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Measurement of aircraft approach using airfield image

Cited by 11 publications

References 16 publications

The use of vision system to determine lateral deviation from landing trajectory

The use of vision system to determine lateral deviation from landing trajectory

Fixed Wing Aircraft Automatic Landing with the Use of a Dedicated Ground Sign System

Vision System Measuring the Position of an Aircraft in Relation to the Runway during Landing Approach

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