Turning Features Detection from Aerial Images: Model Development and Application on Florida’s Public Roadways

Richard Boadu Antwi; Michael Kimollo; Samuel Yaw Takyi; Eren Erman Ozguven; Thobias Sando; Ren Moses; Maxim A. Dulebenets

doi:10.3390/smartcities7030059

Turning Features Detection from Aerial Images: Model Development and Application on Florida’s Public Roadways

Richard Boadu Antwi, Michael Kimollo, Samuel Yaw Takyi, Eren Erman Ozguven, Thobias Sando, Ren Moses, Maxim A. Dulebenets

School of Engineering

University of North Florida

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

Original language	English
Pages (from-to)	1414-1440
Number of pages	27
Journal	Smart Cities
Volume	7
Issue number	3
DOIs	https://doi.org/10.3390/smartcities7030059
State	Published - Jun 13 2024

ASJC Scopus Subject Areas

Urban Studies
Artificial Intelligence
Electrical and Electronic Engineering

Keywords

deep learning
machine learning (ML)
pavement markings
roadway characteristic index (RCI)
roadway geometry features
turning lanes

Access to Document

10.3390/smartcities7030059

Cite this

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title = "Turning Features Detection from Aerial Images: Model Development and Application on Florida{\textquoteright}s Public Roadways",

keywords = "deep learning, machine learning (ML), pavement markings, roadway characteristic index (RCI), roadway geometry features, turning lanes",

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doi = "10.3390/smartcities7030059",

language = "English",

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AU - Antwi, Richard Boadu

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AU - Ozguven, Eren Erman

AU - Sando, Thobias

AU - Moses, Ren

AU - Dulebenets, Maxim A.

PY - 2024/6/13

Y1 - 2024/6/13

KW - deep learning

KW - machine learning (ML)

KW - pavement markings

KW - roadway characteristic index (RCI)

KW - roadway geometry features

KW - turning lanes

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M3 - Article

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JO - Smart Cities

JF - Smart Cities

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Turning Features Detection from Aerial Images: Model Development and Application on Florida’s Public Roadways

ASJC Scopus Subject Areas

Keywords

Access to Document

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