Analysis of classification algorithms applied to road surface recognition

Author

Bystrov, Aleksandr ; Abbas, Mohammad ; Hoare, Edward ; Thuy-Yung Tran ; Clarke, Nigel ; Gashinova, Marina ; Cherniakov, Mikhail

Author_Institution

Univ. of Birmingham, Birmingham, UK

fYear

2015

fDate

10-15 May 2015

Abstract

The development of remote surface recognition systems is an important step in ensuring road safety. This paper examines the performance of surface classification algorithms, used for the analysis of backscattered microwave and ultrasonic signals. The novelty of our research is the joint use of data obtained from sonar and multifrequency polarimetric radar. The results demonstrate the feasibility of reliable surface classification using the proposed methodology.

Keywords

learning (artificial intelligence); radar polarimetry; radar signal processing; remote sensing by radar; road safety; signal classification; sonar signal processing; backscattered microwave signal; multifrequency polarimetric radar; remote surface recognition systems; road safety; sonar; surface classification algorithms; ultrasonic signal; Acoustics; Asphalt; Classification algorithms; Microwave theory and techniques; Radar; Roads; Sonar; automotive applications; radar remote sensing; sonar applications; statistical learning; supervised learning;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar Conference (RadarCon), 2015 IEEE

Conference_Location

Arlington, VA

Print_ISBN

978-1-4799-8231-8

Type

conf

DOI

10.1109/RADAR.2015.7131124

Filename

7131124