TRACTS-Net : An intelligent road damage detection system using 5G integrated team-forming network

• Main Authors: Rahman, Md Arafatur, Muhammad Afiq, Azmi, Mohammad Nafees, Zaman, Naeem, Muhammad Kamran, Pillai, Prashant, Patwary, Mohammad Nuruzzaman
• Format: Conference or Workshop Item
• Language: English; English
• Published: Institute of Electrical and Electronics Engineers Inc. 2021
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software; T Technology (General); TA Engineering (General). Civil engineering (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/42420/1/TRACTS-Net_An%20intelligent%20road%20damage%20detection%20system%20using%205G.pdf; http://umpir.ump.edu.my/id/eprint/42420/2/TRACTS-Net_An%20intelligent%20road%20damage%20detection%20system%20using%205G%20integrated%20team-forming%20network_ABS.pdf; http://umpir.ump.edu.my/id/eprint/42420/; https://doi.org/10.1109/5GWF52925.2021.00089

In the era of fifth generation of cellular communication (5G), connected vehicles are expected to play a crucial role in transportation and road safety. Every year, road accidents cause numerous injuries and deaths all over the world. One of the various reasons for these accidents is the damaged roa...