AI-Driven Road Condition Monitoring Across Multiple Nations

Deeksha Arya, Sanjay Kumar Ghosh, Durga Toshniwal

AAAI 2022 pp. 12868-12869

doi:10.1609/AAAI.V36I11.21571 /aaai/2022/arya2022aaai-ai-a/

Abstract

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.

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Cite

Text

Arya et al. "AI-Driven Road Condition Monitoring Across Multiple Nations." AAAI Conference on Artificial Intelligence, 2022. doi:10.1609/AAAI.V36I11.21571

Markdown

[Arya et al. "AI-Driven Road Condition Monitoring Across Multiple Nations." AAAI Conference on Artificial Intelligence, 2022.](https://mlanthology.org/aaai/2022/arya2022aaai-ai-a/) doi:10.1609/AAAI.V36I11.21571

BibTeX

@inproceedings{arya2022aaai-ai-a,
  title     = {{AI-Driven Road Condition Monitoring Across Multiple Nations}},
  author    = {Arya, Deeksha and Ghosh, Sanjay Kumar and Toshniwal, Durga},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2022},
  pages     = {12868-12869},
  doi       = {10.1609/AAAI.V36I11.21571},
  url       = {https://mlanthology.org/aaai/2022/arya2022aaai-ai-a/}
}