Recognition of Built-Up and Non-Built-Up Areas from Road Scenes

It is widely known that road users choose their speed based on their visual impression of the road scene, rather than on speed limit signs. Too often it does not follow from the road design, whether the given scene is within or outside the posted built-up area. This paper shows two methods to assess the degree of uncertainty of the drivers. In the first approach, a survey of requested speeds at various road scenes has shown that in unclear situations the standard deviation of chosen speeds is higher than in unambiguous situations. In the second method, the recognition process of drivers was simulated by image classification software. For road scenes which are definitely of built-up or non-built-up nature, the trained classifier works reasonably well. Furthermore, as expected, for unclear situations, the classifier gives an uncertain classification. Each of the two methods produces an output indicator, the standard deviation of speeds and the certainty score, respectively. Both indicators can serve to identify road scenes leading to uncertain and therefore risky situations.


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Photos; References; Tables;
  • Pagination: 9p
  • Monograph Title: Transport Research Arena (TRA) 2014 Proceedings

Subject/Index Terms

Filing Info

  • Accession Number: 01531492
  • Record Type: Publication
  • Files: VTI, TRIS, ATRI
  • Created Date: Jul 24 2014 3:22PM