Automated system of modelling military passability

• Autorzy: Pokonieczny Krzysztof

Identyfikatory

DOI

10.36163/aon-2022-0002

• Języki publikacji: EN

Abstrakty

EN

The classification of terrain in terms of passability plays a significant role in the process of military terrain assessment. It involves classifying selected terrain to specific classes (GO, SLOW-GO, NO-GO). In presented project, the problem of terrain classification to the respective category of passability was solved (among others) by applying artificial neural networks to generate (calculate) Index of Passability (IOP).

Słowa kluczowe

EN

automation; terrain; passability

• Wydawca: Polskie Forum Nawigacyjne
• Czasopismo: Annual of Navigation
• Rocznik: 2022
• Tom: No. 28
• Strony: 15--17
• Opis fizyczny: Bibliogr. 6 poz., rys.

Twórcy

autor

Pokonieczny Krzysztof

• Military University of Technology Faculty of Civil Engineering and Geodesy Warsaw, Poland

Bibliografia

• 1. Pokonieczny K., (100 %), 2017, Automatic military passability map generation system. Proceedings of ICMT 2017 - 6th International Conference on Military Technologies, Brno, Czech Republic, 31.05.2017–2.06.2017, IEEE, pp. 285–292, DOI: 10.1109/MILTECHS.2017.7988771
• 2. Pokonieczny K. (100 %), 2018, Using a multilayer perceptron to automate the terrain assessment for the needs of the Armed Force. ISPRS International Journal of Geo-Information, 7 (11), 430, DOI: 10.3390/ijgi7110430
• 3. Pokonieczny K. (100 %), 2018, Methods of using self-organising maps for terrain classification, using an example of developing a military passability map. In: Lecture Notes in Geoinformation and Cartography: Dynamics in GIscience, Ed: Springer, Cham, pp. 359-371, DOI: 10.1007/978-3-319- 61297-3_26
• 4. Pokonieczny K. (60 %), Mościcka A. (40 %), 2018, The influence of the shape and size of the cell on developing military passability maps. ISPRS International Journal of Geo-Information, 7(7), 261, DOI: 10.3390/ijgi7070261
• 5. Pokonieczny K. (100 %), 2018, Comparison of land passability maps created with use of different spatial data bases. Geografie, 123/3, pp. 317-352.
• 6. Pokonieczny K. (80 %), Rybansky M. (20%), 2018, Method of developing the maps of passability for unmanned ground vehicles. Proceedings of 9th IGRSM International Conference and Exhibition on Geospatial & Remote Sensing, Kuala Lumpur, Malaysia, 24-25.04.2018, IOP Conference Series: Earth and Environmental Science, 169 (2018) 012027, DOI: 10.1088/1755-1315/169/1/012027

Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).