A new method for vehicle classification is presented. An axle parameter estimation gives advanced results for the distances between axles as well as transferred energy of vibrations. Measured road vibrations are analyzed and the phenomena are studied. Algorithms for vehicle classification based on the findings are described and their performance, advantages and disadvantages are evaluated and discussed. Correct classification of vehicles by wheelbases using accelerometers is about 89 %.

Original languageEnglish
Title of host publication2014 19th International Conference on Methods and Models in Automation and Robotics, MMAR 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages413-417
Number of pages5
ISBN (Electronic)9781479950812
DOIs
StatePublished - 13 Nov 2014
Event2014 19th International Conference on Methods and Models in Automation and Robotics, MMAR 2014 - Miedzyzdroje, Poland
Duration: 2 Sep 20145 Sep 2014

Conference

Conference2014 19th International Conference on Methods and Models in Automation and Robotics, MMAR 2014
Country/TerritoryPoland
CityMiedzyzdroje
Period2/09/145/09/14

    Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction

ID: 41252196