Improved Road Geometry Estimation by Fusing Multiple Sources of Information: The InteractIVe Approach

In the future, intelligent vehicles will rely on using a large number of sensors for perceiving effectively the road environment. So, efforts are focused on developing reliable algorithms for fusing data received from different sources of information, such as sensors and databases, installed on the vehicle. This paper focuses on the development of an algorithm for fusing information generated by the optical sensors of the vehicle (cameras) and data retrieved from a map-database in order to extract the geometry of the road where the vehicle is moving. By using multiple information sources the reliability of the system is increased significantly, since if a specific sensor stops providing data then the system will continue to work using information from the rest of the sensors.

  • Availability:
  • Supplemental Notes:
    • Abstract used with permission of ITS Japan. Paper No. 2039.
  • Corporate Authors:

    ITS Japan

    Tokyo,   Japan 
  • Authors:
    • Tsogas, Manolis
    • Floudas, Nikos
    • Lytrivis, Panagiotis
    • Karaseitanidis, Ioannis
    • Amditis, Angelos
  • Conference:
  • Publication Date: 2013

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: CD-ROM; Figures; References;
  • Pagination: 12p
  • Monograph Title: 20th ITS World Congress, Tokyo 2013. Proceedings

Subject/Index Terms

Filing Info

  • Accession Number: 01536639
  • Record Type: Publication
  • ISBN: 9784990493981
  • Files: TRIS
  • Created Date: Aug 28 2014 11:37AM