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Algorithms for an Autonomous Car
Edwin Olson

Citation
Edwin Olson. "Algorithms for an Autonomous Car". Talk or presentation, 8, January, 2008.

Abstract
The DARPA Urban Challenge asked: is it possible to build an autonomous car that can safely navigate a traffic-filled urban environment? In November 2007, 35 teams met in Victorville, CA to find out the answer. This talk will describe Team MIT's vehicle, which was one of only six vehicles to successfully finish the course. The basic architecture of the system (from road detection to path planning) will be described, along with some of the algorithms that were used. This talk will highlight the obstacle detection and tracking system, which combined data from over twenty sensors including RADARs and laser range finders.

Electronic downloads

  • eolsonDGC.ppt · download/application/vnd.ms-powe · 22627 kbytes
Citation formats  
  • HTML
    Edwin Olson. <a
    href="http://chess.eecs.berkeley.edu/pubs/382.html"
    ><i>Algorithms for an Autonomous
    Car</i></a>, Talk or presentation,  8, January,
    2008.
  • Plain text
    Edwin Olson. "Algorithms for an Autonomous Car".
    Talk or presentation,  8, January, 2008.
  • BibTeX
    @presentation{Olson08_AlgorithmsForAutonomousCar,
        author = {Edwin Olson},
        title = {Algorithms for an Autonomous Car},
        day = {8},
        month = {January},
        year = {2008},
        abstract = {The DARPA Urban Challenge asked: is it possible to
                  build an autonomous car that can safely navigate a
                  traffic-filled urban environment? In November
                  2007, 35 teams met in Victorville, CA to find out
                  the answer. This talk will describe Team MIT's
                  vehicle, which was one of only six vehicles to
                  successfully finish the course. The basic
                  architecture of the system (from road detection to
                  path planning) will be described, along with some
                  of the algorithms that were used. This talk will
                  highlight the obstacle detection and tracking
                  system, which combined data from over twenty
                  sensors including RADARs and laser range finders. },
        URL = {http://chess.eecs.berkeley.edu/pubs/382.html}
    }
    

Posted by Christopher Brooks on 8 Jan 2008.
Groups: agv
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