Zobrazeno 1 - 10
of 114
pro vyhledávání: '"Road condition monitoring"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Carrying out repair works, reconstruction, and construction of new road surfaces is a permanent element of urban space. The quality of the new pavement for the adopted traffic category directly impacts the road infrastructure's durability. T
Externí odkaz:
https://doaj.org/article/113e220d2a564565af3567ad55ad2ea4
Publikováno v:
IEEE Access, Vol 12, Pp 154271-154293 (2024)
Road Condition Monitoring is a critical task for the management and maintenance of the pavement network infrastructure by the authorities. In recent years, the application of Artificial Intelligence (AI) techniques in this domain has experienced a si
Externí odkaz:
https://doaj.org/article/75e6b15ae4124563ac688ca63170d41e
Publikováno v:
Vehicles, Vol 5, Iss 3, Pp 931-948 (2023)
Road authorities worldwide can leverage the advances in vehicle technology by continuously monitoring their roads’ conditions to minimize road maintenance costs. The existing methods for carrying out road condition surveys involve manual observatio
Externí odkaz:
https://doaj.org/article/a16f335149c8472295465c7c3add7d51
Akademický článek
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Publikováno v:
Multimodal Transportation, Vol 1, Iss 4, Pp 100041- (2022)
The road infrastructure maintenance is crucial for hassle-free transportation. The proposed work leverages the dense connectivity of public transportation buses for road condition monitoring at a large scale. It uses the buses equipped with GPS and a
Externí odkaz:
https://doaj.org/article/ef407fbd618c4ddba88782d9b1369e34
Akademický článek
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Publikováno v:
International Journal of Mining Science and Technology, Vol 30, Iss 3, Pp 405-411 (2020)
Poor road conditions in underground mine tunnels can lead to decreased production efficiency and increased wear on production vehicles. A prototype system for road condition monitoring is presented in this paper to counteract this. The system consist
Externí odkaz:
https://doaj.org/article/86cc95490b184c2ab3fb5095bbf21b04
Publikováno v:
Data in Brief, Vol 36, Iss , Pp 107133- (2021)
This data article provides details for the RDD2020 dataset comprising 26,336 road images from India, Japan, and the Czech Republic with more than 31,000 instances of road damage. The dataset captures four types of road damage: longitudinal cracks, tr
Externí odkaz:
https://doaj.org/article/6a42fd94c9e04a1e8a7abbc94231ba38
Autor:
Hu, Yazhe
This dissertation presents an approach to reconstruct degenerate near-planar road surface in three-dimensional (3D) while automatically detect road defects. Three techniques are developed in this dissertation to establish the proposed approach. The f
Externí odkaz:
http://hdl.handle.net/10919/98671
Publikováno v:
Sensors, Vol 22, Iss 8, p 3044 (2022)
Road condition monitoring (RCM) has been a demanding strategic research area in maintaining a large network of transport infrastructures. With advancements in computer vision and data mining techniques along with high computing resources, several inn
Externí odkaz:
https://doaj.org/article/a57d9abaeb7e4959bb39d88ca90c0f75