AI-Driven Road Condition Monitoring across Multiple Nations
AI-Driven Road Condition Monitoring across Multiple Nations
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DOI：
10.1609/aaai.v36i11.21571
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发表时间：
2022-06
期刊：
影响因子：
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通讯作者：
Deeksha M. Arya;S. Ghosh;Durga Toshniwal
中科院分区：
文献类型：
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作者：
Deeksha M. Arya;S. Ghosh;Durga Toshniwal
这里总结的博士工作是人工智能（AI）在社会公益方面的应用。成功实施将有助于低成本、更快地监测不同国家的道路状况，从而为每个人带来更安全的道路。此外，该研究还提供了重新使用任何国家发布的道路图像数据和深度学习模型来检测其他国家的道路损坏的建议。
The doctoral work summarized here is an application of Artificial Intelligence (AI) for social good. The successful implementation would contribute towards low-cost, faster monitoring of road conditions across different nations, resulting in safer roads for everyone. Additionally, the study provides recommendations for re-using the road image data and the Deep Learning models released by any country for detecting road damage in other countries.