CNN-based hyperparameter optimization approach for road pothole and crack detection systems

ZS Hernanda, RW Sudibyo - 2022 IEEE World AI IoT …, 2022 - ieeexplore.ieee.org
Poorly maintained roads contribute to the number of fatal auto accidents that occur each
year. The condition of damaged roads in Indonesia reached around 2500 miles or more …

Pothole detection using roboflow convolutional neural networks

D Deepa, A Sivasangari, R Roonwal… - 2023 7th International …, 2023 - ieeexplore.ieee.org
India has a vast network of roads which connects the various cities and villages, due to
which its maintenance becomes a challenging task and also many accidents takes place …

Aiot-citysense: Ai and iot-driven city-scale sensing for roadside infrastructure maintenance

ARM Forkan, YB Kang, F Marti, A Banerjee… - Data Science and …, 2024 - Springer
The transformation of cities into smarter and more efficient environments relies on proactive
and timely detection and maintenance of city-wide infrastructure, including roadside …

Design and Implementation of Artificial Intelligence-based Real-time Pothole Detection for IoT Smart Infrastructure

RW Sudibyo, A Alimudin - Inform: Jurnal Ilmiah Bidang …, 2023 - ejournal.unitomo.ac.id
Abstract The Internet of Things (IoT) has been extensively deployed for Smart Cities due to
its ability to process many different and heterogeneous end systems. The IoT innovation …

Detection and identification of expansion joint gap of road bridges by machine learning using line-scan camera images

IB Kim, JS Cho, GS Zi, BS Cho, SM Lee… - Applied System …, 2021 - mdpi.com
Recently, the lack of expansion joint gaps on highway bridges in Korea has been
increasing. In particular, with the increase in the number of days during the summer …

Multi-agent system architecture for winter road maintenance: a real Spanish case study

DM Jiménez-Bravo, J Bajo, J González-Pachón… - … and Information Systems, 2024 - Springer
Road safety remains a critical issue in contemporary society, where the sudden deterioration
of road conditions due to weather-related natural phenomena poses significant risks. These …

Repairing AI

T Stone, A van Wynsberghe - Maintenance and Philosophy of …, 2024 - taylorfrancis.com
Building on recent calls for a material re-orientation of the ethics of artificial intelligence (AI),
this chapter argues that there is an urgent need to understand AI as an infrastructure that is …

[PDF][PDF] Application of Mathematical Models for Optimizing Inspection Frequency in Maintenance and Management of Pavement

MM Khabiri, ZG Fard - Journal of Science and Technology, 2021 - scholar.archive.org
Mathematical optimization, also called mathematical programming, is the process by which
the best answer (according to a set of criteria) is selected from a set of possible answers to a …

Development and Applications of a Memory-Traffic-Efficient Convolutional Neural Network

YL Lin - 2024 IEEE Asian Solid-State Circuits Conference (A …, 2024 - ieeexplore.ieee.org
Built upon circuit insight, HarDNet is introduced as an innovative and efficient convolutional
neural network architecture aimed at minimizing DRAM access. This design approach …

Quality Evaluation of Road Surface Markings with Uncertainty Aware Regression and Progressive Pretraining

M Boudissa, H Kawanaka… - Journal of Advanced …, 2024 - jstage.jst.go.jp
Maintaining high-quality road markings is essential for both safety and traffic flow. However,
there has been limited research on automating the process of evaluating the quality of these …