| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 5029307 | Procedia Engineering | 2016 | 4 Pages |
Abstract
This work examines the method of road surface classification, based on the analysis of backscattered 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.
Related Topics
Physical Sciences and Engineering
Engineering
Engineering (General)
Authors
Aleksandr Bystrov, Edward Hoare, Thuy-Yung Tran, Nigel Clarke, Marina Gashinova, Mikhail Cherniakov,