Abstract
Road conditions play an important role in our everyday commute. With the proliferating number of vehicles on the road each year, it has become necessary to access the road conditions very frequently, and this would ensure that the traffic also flows smoothly. Even the smallest crack in the road could be easily be chipped into a large pothole due to changing surface temperatures of the road and from the force of vehicles riding over it. In this paper, we have addressed how we could better identify these potholes in real time with the help of onboard sensors in vehicles so that the data could be useful for analysis and better management of potholes on a large scale. For the implementation, we used an SVM classifier to detect potholes, and we achieved 98.1% accuracy based on data collected from a local road for about 2 km which had 26 potholes distributed along the road.
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Acknowledgements
The authors would like to express their sincere thanks and deep sense of gratitude to their faculties, Dr. R. Menaka and Dr. S. Muthulakshmi, who organized this competition provided us with the opportunity to present this idea for the Ericssion Designathon competition. The Ericssion team also gave their insights and valuable feedback for us throughout the course of the project work.
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Aswath, M., Raj, S.J., Mohanaprasad, K. (2022). Real-Time Pothole Detection with Onboard Sensors and Camera on Vehicles. In: Sivasubramanian, A., Shastry, P.N., Hong, P.C. (eds) Futuristic Communication and Network Technologies. VICFCNT 2020. Lecture Notes in Electrical Engineering, vol 792. Springer, Singapore. https://doi.org/10.1007/978-981-16-4625-6_47
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DOI: https://doi.org/10.1007/978-981-16-4625-6_47
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