@inproceedings{4680fad4ecff465a816ee6f55d3a75f6,
title = "Road surface classification using ultrasonic sensor",
abstract = "This work examines the method of road surface classification, based on the analysis of back-scattered ultrasonic signals. The novelty of our research is the extraction of signal features for separate swathes of illuminated surface (segmentation) and the use of a wide range of statistical methods in real on-road and off-road driving conditions. The errors caused by the influence of environmental conditions and the vehicle movement were analysed, and ways to reduce them were suggested. The results demonstrate the feasibility of reliable surface classification using the proposed methodology.",
keywords = "sonar applications, remote sensing, sensor fusion, classification algorithms, artificial neural networks",
author = "Aleksandr Bystrov and Edward Hoare and Thuy-Yung Tran and Nigel Clarke and Marina Gashinova and Mikhail Cherniakov",
year = "2016",
doi = "10.1016/j.proeng.2016.11.119",
language = "English",
series = "Procedia Engineering",
publisher = "Elsevier",
pages = "19--22",
booktitle = "Proceedings of the 30th anniversary Eurosensors Conference",
note = "EUROSENSORS 2016 ; Conference date: 04-09-2016 Through 07-09-2016",
}