AI-Driven Road Condition Monitoring across Multiple Nations

Authors

  • Deeksha Arya Indian Institute of Technology Roorkee, Uttarakhand, India
  • Sanjay Kumar Ghosh Indian Institute of Technology Roorkee, Uttarakhand, India
  • Durga Toshniwal Indian Institute of Technology Roorkee, Uttarakhand, India

DOI:

https://doi.org/10.1609/aaai.v36i11.21571

Keywords:

Intelligent Transport System, Image Processing, Deep Learning, Automation, Safer Roads

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.
AAAI-22 Proceedings Cover

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Published

2022-06-28

How to Cite

Arya, D., Ghosh, S. K., & Toshniwal, D. (2022). AI-Driven Road Condition Monitoring across Multiple Nations. Proceedings of the AAAI Conference on Artificial Intelligence, 36(11), 12868-12869. https://doi.org/10.1609/aaai.v36i11.21571

Issue

Vol. 36 No. 11: IAAI-22, EAAI-22, AAAI-22 Special Programs and Special Track, Student Papers and Demonstrations

Section

The Twenty - Seventh AAAI / SIGAI Doctoral Consortium