Synergy of remote sensing data collected with low-cost mobile mapping platform for detection and prediction of damages: a park alley case study

• Autorzy: Pilarska-Mazurek Magdalena , Bakuła Krzysztof , Górka Jakub , Czernic Paweł , Lejzerowicz Anna , Ostrowski Wojciech , Chetverikov Borys

Identyfikatory

DOI

10.24425/ace.2024.151006

Warianty tytułu

PL

Synergia danych teledetekcyjnych pozyskanych z wykorzystaniem niskobudżetowej mobilnej platformy kartującej do wykrywania i predykcji uszkodzeń na przykładzie alei w parku

• Języki publikacji: EN

Abstrakty

EN

Data synergy involves acquiring and combining data from different sensors to achieve better problem analysis and research results. For more comprehensive data analysis, the sensors are not only mounted on one platform. Still, they should also be compatible with software and hardware, e.g. for the same timestamp registration by different sensors. The aim of this article is to propose the synergy between various remote sensing sensors including the ground penetrating radar (GPR), LiDAR (Light Detection and Ranging) sensor and three photogrammetric RGB cameras for damage detection in a pavement in a park alley. The data were acquired with a low-cost platform, in the Pole Mokotowskie Park in Warsaw, Poland. Three drives were made along the same path with the platform, so it was possible to assess the repeatability of the data. Based on the GPR data, orthophotomap, and digital terrain model (DTM) from images, an analysis of the cracks in the pavement was done. The paper proves additive value from the synergy of data collected for the alley also in the form of a common visualization of acquired data. Results presented in the article showed that using mobile mapping platform and technologies describing the situation above and below the ground level enable a more detailed analysis and inspection of the damages in the park alley.

PL

Synergia danych obejmuje pozyskiwanie i łączenie danych z różnych sensorów w celu wykonania lepszej jakości analiz i uzyskania lepszych wyników badań. W celu zapewnienia bardziej kompleksowej analizy danych, oprócz tego, że sensory są montowane na jednej platformie, powinny być one również kompatybilne z oprogramowaniem i sprzętem, np. w celu rejestracji tego samego znacznika czasu przez różne sensory. Celem tego artykułu jest zaproponowanie synergii między różnymi sensorami teledetekcyjnymi, z georadarem (GPR), czujnikiem LiDAR (Light Detection and Ranging) i trzema fotogrametrycznymi kamerami RGB do wykrywania uszkodzeń chodnika w alejce parkowej. Dane zostały pozyskane za pomocą niskokosztowej platformy w parku Pole Mokotowskie w Warszawie. Wykonano trzy przejazdy platformą po tej samej trasie, dzięki czemu możliwa była ocena powtarzalności danych. Na podstawie danych z georadaru, i numerycznego modelu terenu (NMT) ze zdjęć przeprowadzono analizę pęknięć w nawierzchni. W artykule udowodniono wartość dodaną wynikającą z synergii również w postaci wspólnej wizualizacji pozyskanych dla chodnika danych. Wyniki przedstawione w artykule wykazały, że wykorzystanie mobilnej platformy oraz technologii opisujących sytuację nad i pod poziomem gruntu umożliwia bardziej szczegółową analizę i inspekcję uszkodzeń w alejce parkowej.

Słowa kluczowe

EN

damage detection; data integration; data visualization; ground penetrating radar; light detection and ranging; non-destructive investigation; park alley; pavement

PL

badanie nieinwazyjne; georadar; integracja danych; LiDAR; wizualizacja danych; wykrywanie uszkodzeń; aleja parkowa; nawierzchnia

• Wydawca: Komitet Inżynierii Lądowej i Wodnej PAN ; Politechnika Warszawska, Wydział Inżynierii Lądowej
• Czasopismo: Archives of Civil Engineering
• Rocznik: 2024
• Tom: Vol. 70, nr 3
• Strony: 619--634
• Opis fizyczny: Bibliogr. 31 poz., il., tab.

Twórcy

autor

Pilarska-Mazurek Magdalena

• Warsaw University of Technology, Faculty of Geodesy and Cartography, Warsaw, Poland

• https://orcid.org/0000-0001-9494-9863

autor

Bakuła Krzysztof

• Warsaw University of Technology, Faculty of Geodesy and Cartography, Warsaw, Poland

• https://orcid.org/0000-0001-7137-1667

autor

Górka Jakub

• Warsaw University of Technology, Faculty of Geodesy and Cartography, Warsaw, Poland

• https://orcid.org/0000-0002-8262-847X

autor

Czernic Paweł

• Warsaw University of Technology, Faculty of Geodesy and Cartography, Warsaw, Poland

• https://orcid.org/0009-0008-6927-5375

autor

Lejzerowicz Anna

• Warsaw University of Technology, Faculty of Civil Engineering, Warsaw, Poland

• https://orcid.org/0000-0002-1350-0632

autor

Ostrowski Wojciech

• Warsaw University of Technology, Faculty of Geodesy and Cartography, Warsaw, Poland

• https://orcid.org/0000-0003-2103-1546

autor

Chetverikov Borys

• Lviv Politechnic National University, Institute of Geodesy, Lviv, Ukraine

• https://orcid.org/0000-0001-8677-1735

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