Zobrazeno 1 - 10
of 133
pro vyhledávání: '"vehicle damage"'
Autor:
Van-Dung Hoang, Nhan T. Huynh, Nguyen Tran, Khanh Le, Thi-Minh-Chau Le, Ali Selamat, Hien D. Nguyen
Publikováno v:
Journal of Information and Telecommunication, Pp 1-19 (2024)
In the realm of automobile insurance, the imperative of automating car damage evaluation has surged, offering streamlined assessment processes and heightened accuracy. Deep learning techniques have notably influenced vehicle damage assessment, reshap
Externí odkaz:
https://doaj.org/article/6e0eb600059440b390431a42dfe8d138
Publikováno v:
Heliyon, Vol 10, Iss 14, Pp e34016- (2024)
Automated procedures for classifying vehicle damage are critical in industries requiring extensive vehicle management. Despite substantial research demands, challenges in the field of vehicle damage classification persist due to the scarcity of publi
Externí odkaz:
https://doaj.org/article/4bc53e9e604e4f6b998b9411f8115d5e
Autor:
Shih-Lin Lin, Yi-Hsuan Chen
Publikováno v:
IEEE Access, Vol 12, Pp 174507-174518 (2024)
With the rapid advancement of technology, there is an increasing need for quick and accurate analysis of vehicle accident severity, determination of accident liability, assessment of vehicle damage extent, and efficient calculation of insurance compe
Externí odkaz:
https://doaj.org/article/2c0f7d07e75341198cf0eb4c7005d04f
Autor:
Dimitrios Mallios, Li Xiaofei, Niall McLaughlin, Jesus Martinez Del Rincon, Clare Galbraith, Rory Garland
Publikováno v:
IEEE Access, Vol 11, Pp 78644-78655 (2023)
Following a car accident, an insurance company must assess the level of damage to each vehicle to decide on the compensation paid to the insurance customer. This assessment is usually performed by manual inspection, which is costly and time-consuming
Externí odkaz:
https://doaj.org/article/87b59058090841b2a0819b32022830e9
Akademický článek
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Autor:
Jihad Qaddour, Syeda Ayesha Siddiqa
Publikováno v:
Intelligent Systems with Applications, Vol 18, Iss , Pp 200192- (2023)
Claim leakage costs insurance companies millions of dollars each year because of the disparity between the cost spent by allowance businesses and the accurate quantity that must be reimbursed. As a result, processing claims for identifying and classi
Externí odkaz:
https://doaj.org/article/ab9ab65269a54ec884110c77ad90c8d1
Autor:
Solomon Ntow Densu, Peter Damoah-Afari
Publikováno v:
Cogent Engineering, Vol 9, Iss 1 (2022)
Upsurge in pedestrian-involved crashes, in the Sekondi-Takoradi Metropolis, has led to the installation of speed humps to ameliorate the situation. This has, however, attracted public complaints citing ride discomfort, vehicle damage and safety conce
Externí odkaz:
https://doaj.org/article/b43f491f7608484f88a1bcc5267e6deb
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
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Autor:
R.E. van Ruitenbeek, S. Bhulai
Publikováno v:
Machine Learning with Applications, Vol 9, Iss , Pp 100332- (2022)
Vehicle damages are increasingly becoming a liability for shared mobility services. The large number of handovers between drivers demands for an accurate and fast inspection system, which locates small damages and classifies these into the correct da
Externí odkaz:
https://doaj.org/article/5d6ecd1d806c4757beb681303986136b
Publikováno v:
Promet (Zagreb), Vol 32, Iss 3, Pp 371-382 (2020)
One of the main points to be addressed when analysing vehicle-pedestrian collisions is the vehicle impact speed. If the traffic accident is not recorded on camera, and there are no skid marks nor tachograph in the vehicle, the parameter is determined
Externí odkaz:
https://doaj.org/article/28b637e5caf94a23a0be23ebdd71b4a0