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

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	4
Pages (from-to)	135
Number of pages	1
Journal	ISPRS International Journal of Geo-Information
Volume	14
Issue number	4
DOIs	https://doi.org/10.3390/ijgi14040135
State	Published - Apr 2025

ASJC Scopus Subject Areas

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

Keywords

deep learning (DL)
pavement markings
pedestrian lanes
roadway characteristic index (RCI)
roadway geometry features bicycle lanes

Access to Document

10.3390/ijgi14040135

Cite this

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. Article 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.
In: ISPRS International Journal of Geo-Information, Vol. 14, No. 4, 4, 04.2025, p. 135.

Research output: Contribution to journal › Article › peer-review

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

ASJC Scopus Subject Areas

Keywords

Access to Document

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