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2022 AAAI AAAI 2022

AI-Driven Road Condition Monitoring across Multiple Nations

Abstract

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.

🌉 Interdisciplinary Bridge — Computer Vision and Deep Learning and Machine Learning
🧭 Keyword Pioneer — road damage detection
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio

Authors

Deeksha Arya , Sanjay Kumar Ghosh , Durga Toshniwal

Topics

Deep Learning > Techniques > Model Architecture Computer Vision > Analysis > Semantic Segmentation Computer Vision > Domain-Specific > Autonomous Driving Machine Learning > Learning Types > Transfer Learning Deep Learning > Application Areas > Efficient Computing

Keywords

image classification semantic segmentation computer vision deep learning cross-domain transfer road damage detection
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