Automated Geographic-Information-System-Based Framework for Detecting Crosswalk Changes from Bi-Temporal High-Resolution Aerial Images

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

doi:10.1177/03611981241292333

Automated Geographic-Information-System-Based Framework for Detecting Crosswalk Changes from Bi-Temporal High-Resolution Aerial Images

Richard Boadu Antwi
, Samuel Takyi
, Alican Karaer
, Eren Erman Ozguven
, Michael Kimollo
, 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
Pages (from-to)	353-370
Number of pages	18
Journal	Transportation Research Record
Volume	2679
Issue number	4
DOIs	https://doi.org/10.1177/03611981241292333
State	Published - Nov 15 2024

ASJC Scopus Subject Areas

Civil and Structural Engineering
Mechanical Engineering

Keywords

artificial intelligence
data analytics
data and data science
geographic information systems
geospatial data

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10.1177/03611981241292333

Cite this

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title = "Automated Geographic-Information-System-Based Framework for Detecting Crosswalk Changes from Bi-Temporal High-Resolution Aerial Images",

keywords = "artificial intelligence, data analytics, data and data science, geographic information systems, geospatial data",

author = "Antwi, \{Richard Boadu\} and Samuel Takyi and Alican Karaer and Ozguven, \{Eren Erman\} and Michael Kimollo and Ren Moses and Dulebenets, \{Maxim A.\} and Thobias Sando",

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AU - Antwi, Richard Boadu

AU - Takyi, Samuel

AU - Karaer, Alican

AU - Ozguven, Eren Erman

AU - Kimollo, Michael

AU - Moses, Ren

AU - Dulebenets, Maxim A.

AU - Sando, Thobias

N1 - Publisher Copyright: © The Author(s) 2024.

PY - 2024/11/15

Y1 - 2024/11/15

KW - artificial intelligence

KW - data analytics

KW - data and data science

KW - geographic information systems

KW - geospatial data

UR - https://www.scopus.com/pages/publications/85209364988

UR - https://www.scopus.com/pages/publications/85209364988#tab=citedBy

U2 - 10.1177/03611981241292333

DO - 10.1177/03611981241292333

M3 - Article

AN - SCOPUS:85209364988

SN - 0361-1981

VL - 2679

SP - 353

EP - 370

JO - Transportation Research Record

JF - Transportation Research Record

IS - 4

ER -

Automated Geographic-Information-System-Based Framework for Detecting Crosswalk Changes from Bi-Temporal High-Resolution Aerial Images

ASJC Scopus Subject Areas

Keywords

Access to Document

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