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Publikacje Pracowników Politechniki Lubelskiej

MNiSW
200
Lista 2024
Status:
Autorzy: Wiśniewski Mariusz, Kaźmierczak Andrzej, Pytka Jarosław
Dyscypliny:
Aby zobaczyć szczegóły należy się zalogować.
Rok wydania: 2025
Wersja dokumentu: Drukowana | Elektroniczna
Język: angielski
Numer czasopisma: Pt B
Wolumen/Tom: 259
Numer artykułu: 119716
Strony: 1 - 16
Impact Factor: 5,6
Scopus® Cytowania: 0
Bazy: Scopus
Efekt badań statutowych NIE
Materiał konferencyjny: NIE
Publikacja OA: NIE
Abstrakty: angielski
The issue of ensuring safety in small aircraft operations has grown significantly with the development of general aviation. It has become especially significant on remote airfields without control tower. Implementation of the automated system for monitoring small aircraft ground performance can positively mitigate this issue. This problem has been addressed by a system called IMUMETER, which combines measurements of the magnetic field, aircraft acceleration, and GPS position with the automated recognition of characteristic flight moments. Recognition, performed by a convolutional neural network, requires the provision of training data. This work presents a novel solution based on a photogrammetric system that uses ground-based cameras to accurately determine an aircraft’s position and key flight parameters. The core innovation lies in our approach, which le- verages low cost external vision system to simplify the process of necessary measurements, eliminate the need for any additional hardware on the aircraft itself and does not require additional maintenance. The system includes two CCD cameras connected with an appropriate camera links, software and the computers for simultaneous observation of the aircrafts. In order to provide automated operation of the system an image recognition tech- niques will be used. A traceability of the system has been provided by calibration of the system using laser tracker in laboratory environment and calibrated total station in a field conditions. Both laboratory tests and initial field measurements on a real airstrip have validated the system’s effectiveness and demonstrated the system’s robust performance, providing a new, accessible tool for enhancing safety in general aviation. A reference photo- grammetric system will provide a necessary data to train the network and to verify the correctness of the accelerometric system operation.