• Media type: E-Article
  • Title: Road classification based on SVM and vehicle body vibration
  • Contributor: Fu, Xiaoyi; Zhao, Yuzhuang
  • imprint: EDP Sciences, 2021
  • Published in: E3S Web of Conferences
  • Language: Not determined
  • DOI: 10.1051/e3sconf/202126801074
  • ISSN: 2267-1242
  • Keywords: Pulmonary and Respiratory Medicine ; Pediatrics, Perinatology, and Child Health
  • Origination:
  • Footnote:
  • Description: <jats:p>Obtaining road surface information to make the vehicle run in the best condition can not only reduce energy consumption and vehicle loss, but also improve driving safety. In this paper, specific car body information was preprocessed as root mean square value, and SVM offline training was used. The recognition rate of off-road and highway can reach 98%. Compared with traditional threshold recognition, SVM has better adaptability and robustness. On the premise of keeping easy to obtain, the discrimination accuracy of the root mean square value is obviously better than the original value and the mean value.</jats:p>
  • Access State: Open Access