AI-Driven Road Condition Monitoring across Multiple Nations

被引：0
|
作者：
Arya, Deeksha [1 ]
Ghosh, Sanjay Kumar [1 ]
Toshniwal, Durga [1 ]
机构：
[1] Indian Inst Technol Roorkee, Roorkee 247667, Uttarakhand, India
来源：
THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE | 2022年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The doctoral work summarized here applies 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.
引用
收藏
页码：12868 / 12869
页数：2
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