Computer vision for road imaging and pothole detection: a state-of-the-art review of systems and algorithms

N Ma, J Fan, W Wang, J Wu, Y Jiang… - Transportation safety …, 2022 - academic.oup.com
Computer vision algorithms have been utilized for 3-D road imaging and pothole detection
for over two decades. Nonetheless, there is a lack of systematic survey articles on state-of …

Review of recent automated pothole-detection methods

YM Kim, YG Kim, SY Son, SY Lim, BY Choi, DH Choi - Applied Sciences, 2022 - mdpi.com
Potholes, a kind of road defect, can damage vehicles and negatively affect drivers' safe
driving, and in severe cases can lead to traffic accidents. Efficient and preventive …

An integrated approach to automatic pixel-level crack detection and quantification of asphalt pavement

A Ji, X Xue, Y Wang, X Luo, W Xue - Automation in Construction, 2020 - Elsevier
Discovering and assessing cracks is widely thought to be critical for maintaining the healthy
conditions of asphalt pavement. Unfortunately, the inspection of pavement for cracks is not …

Smart pothole detection using deep learning based on dilated convolution

KR Ahmed - Sensors, 2021 - mdpi.com
Roads make a huge contribution to the economy and act as a platform for transportation.
Potholes in roads are one of the major concerns in transportation infrastructure. A lot of …

Pothole and plain road classification using adaptive mutation dipper throated optimization and transfer learning for self driving cars

AA Alhussan, DS Khafaga, ESM El-Kenawy… - IEEE …, 2022 - ieeexplore.ieee.org
Self-driving car plays a crucial role in implementing traffic intelligence. Road smoothness in
front of self-driving cars has a significant impact on the car's driving safety and comfort …

Review of image-based analysis and applications in construction

K Mostafa, T Hegazy - Automation in Construction, 2021 - Elsevier
Image-based analysis techniques offer a robust way to solve engineering problems due to
the availability of visual data (eg, surveillance cameras). Hence, research efforts have …

An automatic image processing algorithm based on crack pixel density for pavement crack detection and classification

N Safaei, O Smadi, A Masoud, B Safaei - International Journal of …, 2022 - Springer
Nowadays, there is a massive necessity to develop fully automated and efficient distress
assessment systems to evaluate pavement conditions with the minimum cost. Due to having …

Mapping computer vision research in construction: Developments, knowledge gaps and implications for research

B Zhong, H Wu, L Ding, PED Love, H Li, H Luo… - Automation in …, 2019 - Elsevier
Computer vision is transforming processes associated with the engineering and
management of construction projects. It can enable the acquisition, processing, analysis of …

Recent computer vision applications for pavement distress and condition assessment

H Ayman, MW Fakhr - Automation in Construction, 2023 - Elsevier
Amidst the unprecedented demographic boom, coupled with climate change, more pressure
is being exerted on road networks. Asset managers are thus in search for time and cost …

A framework of pavement management system based on IoT and big data

J Dong, W Meng, Y Liu, J Ti - Advanced Engineering Informatics, 2021 - Elsevier
With the expansion of urban road network, the importance of road maintenance is
increasing, which guarantee the operation efficiency of transportation infrastructure …