Deep learning-based road damage detection and classification for multiple countries

Automation in Construction, Journal Year: 2021, Volume and Issue: 132, P. 103935 - 103935

Published: Sept. 11, 2021

Language: Английский

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DenseSPH-YOLOv5: An automated damage detection model based on DenseNet and Swin-Transformer prediction head-enabled YOLOv5 with attention mechanism

Advanced Engineering Informatics, Journal Year: 2023, Volume and Issue: 56, P. 102007 - 102007

Published: April 1, 2023

Language: Английский

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Urban Traffic Monitoring and Analysis Using Unmanned Aerial Vehicles (UAVs): A Systematic Literature Review

Remote Sensing, Journal Year: 2022, Volume and Issue: 14(3), P. 620 - 620

Published: Jan. 27, 2022

Unmanned aerial vehicles (UAVs) are gaining considerable interest in transportation engineering order to monitor and analyze traffic. This systematic review surveys the scientific contributions application of UAVs for civil engineering, especially those related traffic monitoring. Following PRISMA framework, 34 papers were identified five databases. First, this paper introduces previous works field. In addition, selected analyzed, some conclusions drawn complement findings. It can be stated that is still a field its infancy progress advanced image processing techniques technologies used construction will lead an explosion number applications, which result increased benefits society, reducing unpleasant situations, such as congestion collisions major urban centers world.

Language: Английский

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The use of unmanned ground vehicles (mobile robots) and unmanned aerial vehicles (drones) in the civil infrastructure asset management sector: Applications, robotic platforms, sensors, and algorithms

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 232, P. 120897 - 120897

Published: June 24, 2023

Language: Английский

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An efficient pavement distress detection scheme through drone–ground vehicle coordination

Transportation Research Part A Policy and Practice, Journal Year: 2024, Volume and Issue: 180, P. 103949 - 103949

Published: Jan. 6, 2024

Language: Английский

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Building digital twins of existing highways using map data based on engineering expertise

Automation in Construction, Journal Year: 2021, Volume and Issue: 134, P. 104081 - 104081

Published: Dec. 8, 2021

Language: Английский

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When Intelligent Transportation Systems Sensing Meets Edge Computing: Vision and Challenges

Applied Sciences, Journal Year: 2021, Volume and Issue: 11(20), P. 9680 - 9680

Published: Oct. 17, 2021

The widespread use of mobile devices and sensors has motivated data-driven applications that can leverage the power big data to benefit many aspects our daily life, such as health, transportation, economy, environment. Under context smart city, intelligent transportation systems (ITS), a main building block modern cities, edge computing (EC), an emerging service targets addressing limitations cloud computing, have attracted increasing attention in research community recent years. It is well believed application EC ITS will considerable benefits regarding efficiency, safety, sustainability. Despite growing trend research, gap existing literature identified: intersection between these two promising directions been far from explored. In this paper, we focus on critical part ITS, i.e., sensing, conducting review advances sensing field. key challenges future with integration are discussed.

Language: Английский

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Multi-UAV trajectory planning for 3D visual inspection of complex structures

Automation in Construction, Journal Year: 2022, Volume and Issue: 147, P. 104709 - 104709

Published: Dec. 15, 2022

The application of autonomous UAVs to infrastructure inspection tasks provides benefits in terms operation time reduction, safety, and cost-effectiveness. This paper presents trajectory planning for three-dimensional multi-UAV volume coverage visual based on the Heat Equation Driven Area Coverage (HEDAC) algorithm. method generates trajectories using a potential field implements distance fields prevent collisions determine UAVs’ camera orientation. It successfully achieves during complex structures such as wind turbine bridge, outperforming state-of-the-art by allowing more surface area be inspected under same conditions. presented offers flexibility various setup parameters is applicable real-world tasks. Conclusively, proposed methodology could potentially applied different UAV tasks, or even utilized motion control if its computational efficiency improved.

Language: Английский

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Advanced pavement distress recognition and 3D reconstruction by using GA-DenseNet and binocular stereo vision

Measurement, Journal Year: 2022, Volume and Issue: 201, P. 111760 - 111760

Published: Aug. 20, 2022

Language: Английский

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Unmanned aerial vehicle implementation for pavement condition survey

Transportation Engineering, Journal Year: 2023, Volume and Issue: 12, P. 100168 - 100168

Published: March 5, 2023

The Utilization of Unmanned Aerial Vehicle (UAV) as a vehicle for comprehensive and fast road condition data acquisition is expected to minimize or even replace conventional surveys in the field. In addition, final UAV product form 2D/3D model conditions has been proven be used medium interpreting damage measuring dimensions without having do it significant difference between this study other studies found use Surface Distress Index Pavement Condition methods assessing on results. No research compares two models. This took photos pavement using drones produce 2D 3D models visual media methods. results assessment compared with comparison, dimension level accuracy distress against manual measurements field, edge cracking lowest value 75.72%, joint reflective crack highest 97.86%. linear regression equation method field y = 0.931x + 3.6003 coefficient determination r2 0.86 an MSE 121.333, while 0.5831x 28.867 that 0.653 2115. Based comparison above, study, application more precise method.

Language: Английский

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