Systematic Information Fusion Methodology for Static and Dynamic Obstacle Detection in ITS

Environment-understanding technology is vital for intelligent vehicles that are expected to automatically respond to fast-changing environments and dangerous situations. Achieving perceptual abilities requires automatic detection of static and dynamic obstacles and estimation of their related information. Conventional methods independently detect individual pieces of overall information. Each process is computationally heavy and often produces noisy results without high reliability. Here we propose a fusion-based and layered-based methodology to systematically detect dynamic and static obstacles and obtain their location/timing information for visible and infrared sequences. The proposed obstacle-detection methodology takes advantage of connections among different data and increases the estimation accuracy of information about obstacles, yet reduces computing time, thus improving environment-understanding abilities and driving safety.

Language

  • English

Media Info

  • Media Type: CD-ROM
  • Features: Figures; References;
  • Pagination: 12p
  • Monograph Title: ITS Connections: Saving Time. Saving Lives

Subject/Index Terms

Filing Info

  • Accession Number: 01146710
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Dec 6 2009 6:00PM