All about the Road: Detecting Road Type, Road Damage, and Road Conditions
Conference Paper, Proceedings of ITS World Congress, November, 2017
Abstract
In this paper we describe a cost-effective system that can continuously monitor the status of the road infrastructure. It can measure the amount of cracking in the pavement, determine the type of road, and can measure the amount of snow or slush on the road. The image and sensor data is collected by smart-phones mounted on vehicles that travel the roads on a regular basis. The images are analyzed by a machine vision algorithm that uses bag-of-words and other visual features within superpixels and a SVM as the machine learning classifier. We evaluate the accuracy of the system.
Notes
Associated Lab - NavLab
Associated Lab - NavLab
BibTeX
@conference{Mertz-2017-103577,author = {Nikitha S. Poddatur, Christoph Mertz},
title = {All about the Road: Detecting Road Type, Road Damage, and Road Conditions},
booktitle = {Proceedings of ITS World Congress},
year = {2017},
month = {November},
}
Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.