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

Otros archivos y enlaces

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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