TY - JOUR
T1 - Computer vision-based model for detecting turning lane features on Florida’s public roadways from aerial images
AU - Antwi, Richard Boadu
AU - Takyi, Samuel
AU - Kimollo, Michael
AU - Karaer, Alican
AU - Ozguven, Eren Erman
AU - Moses, Ren
AU - Dulebenets, Maxim A.
AU - Sando, Thobias
N1 - Antwi, R. B., Takyi, S., Kimollo, M., Karaer, A., Ozguven, E. E., Moses, R., … Sando, T. (2024). Computer vision-based model for detecting turning lane features on Florida’s public roadways from aerial images. Transportation Planning and Technology, 1–32. https://doi.org/10.1080/03081060.2024.2386614
PY - 2024/8/8
Y1 - 2024/8/8
KW - deep learning
KW - machine learning (ML)
KW - pavement markings
KW - roadway characteristic index (RCI)
KW - roadway geometry features
KW - Turning lanes
UR - http://www.scopus.com/inward/record.url?scp=85200994985&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85200994985&partnerID=8YFLogxK
U2 - 10.1080/03081060.2024.2386614
DO - 10.1080/03081060.2024.2386614
M3 - Article
AN - SCOPUS:85200994985
SN - 0308-1060
JO - Transportation Planning and Technology
JF - Transportation Planning and Technology
ER -