DRIVING IN TRAFFIC: SHORT-RANGESENSING FOR URBAN COLLISION AVOIDANCE

Although intelligent vehicles are beginning to appear on the market, their sensing and warning functions still only work on the open road. This paper examines work done on the problem of sensing and driver interfacing for driving in urban areas. Discussed is the need to sense cars and pedestrians as well as curbs, fire plugs and bicycles and lampposts. The paper discusses work with radar, ladar, stereo vision and novel light stripe range sensors. A subset of these sensors installed on a city bus, driving through the streets of Pittsburgh on its normal runs is looked at. Also discussed is the use of different kinds of data fusion for different subsets of sensors, plus a coordinating framework for mapping objects at an abstract level.

  • Supplemental Notes:
    • Full conference proceedings available on CD-ROM.
  • Corporate Authors:

    Federal Transit Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Authors:
    • Thorpe, C
    • Duggins, D T
    • Gowdy, J
    • MacLaughlin, R
    • Mertz, C
    • Siegel, M
    • Suppe, A
    • Wang, B
    • Yata, T
  • Conference:
  • Publication Date: 2002

Language

  • English

Media Info

  • Pagination: 5p

Subject/Index Terms

Filing Info

  • Accession Number: 00936266
  • Record Type: Publication
  • Files: TRIS, USDOT
  • Created Date: Jan 3 2003 12:00AM