Road surface classification using ultrasonic sensor

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)
220 Downloads (Pure)

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.
Original languageEnglish
Title of host publicationProceedings of the 30th anniversary Eurosensors Conference
Subtitle of host publicationEurosensors 2016, 4-7. Sepember 2016, Budapest, Hungary
PublisherElsevier
Pages19-22
Number of pages4
DOIs
Publication statusPublished - 2016
EventEUROSENSORS 2016 - Budapest, Hungary
Duration: 4 Sept 20167 Sept 2016

Publication series

NameProcedia Engineering
PublisherElsevier
Volume168
ISSN (Print)1877-7058

Conference

ConferenceEUROSENSORS 2016
Country/TerritoryHungary
CityBudapest
Period4/09/167/09/16

Keywords

  • sonar applications
  • remote sensing
  • sensor fusion
  • classification algorithms
  • artificial neural networks

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