Automated Detection of Pedestrian and Bicycle Lanes from High-Resolution Aerial Images by Integrating Image Processing and Artificial Intelligence (AI) Techniques

Richard Boadu Antwi; Prince Lartey Lawson; Michael Kimollo; Eren Erman Ozguven; Ren Moses; Maxim A. Dulebenets; Thobias Sando

doi:10.3390/ijgi14040135

Automated Detection of Pedestrian and Bicycle Lanes from High-Resolution Aerial Images by Integrating Image Processing and Artificial Intelligence (AI) Techniques

Richard Boadu Antwi, Prince Lartey Lawson, Michael Kimollo, Eren Erman Ozguven, Ren Moses, Maxim A. Dulebenets, Thobias Sando

School of Engineering

University of North Florida

Producción científica: Article › revisión exhaustiva

Idioma original	English
Número de artículo	4
Páginas (desde-hasta)	135
Número de páginas	1
Publicación	ISPRS International Journal of Geo-Information
Volumen	14
N.º	4
DOI	https://doi.org/10.3390/ijgi14040135
Estado	Published - abr 2025

ASJC Scopus Subject Areas

Geography, Planning and Development
Computers in Earth Sciences
Earth and Planetary Sciences (miscellaneous)

Acceder al documento

10.3390/ijgi14040135

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Citar esto

Antwi, R. B., Lawson, P. L., Kimollo, M., Ozguven, E. E., Moses, R., Dulebenets, M. A., & Sando, T. (2025). Automated Detection of Pedestrian and Bicycle Lanes from High-Resolution Aerial Images by Integrating Image Processing and Artificial Intelligence (AI) Techniques. ISPRS International Journal of Geo-Information, 14(4), 135. Artículo 4. https://doi.org/10.3390/ijgi14040135

Automated Detection of Pedestrian and Bicycle Lanes from High-Resolution Aerial Images by Integrating Image Processing and Artificial Intelligence (AI) Techniques. / Antwi, Richard Boadu; Lawson, Prince Lartey; Kimollo, Michael et al.
En: ISPRS International Journal of Geo-Information, Vol. 14, N.º 4, 4, 04.2025, p. 135.

Producción científica: Article › revisión exhaustiva

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