Autonomous Driving in Traffic: Boss and the Urban Challenge

The DARPA Urban Challenge was a competition to develop autonomous vehicles capable of safely, reliably, and robustly driving in traffic. In this article we introduce Boss, the autonomous vehicle that won the challenge. Boss is a complex artificially intelligent software system embodied in a 2007 Che...

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Bibliographic Details
Main Authors: Urmson, Chris, Baker, Chris, Dolan, John, Rybski, Paul, Salesky, Bryan, Whittaker, William, Ferguson, Dave, Darms, Michael
Format: Report
Language:English
Subjects:
ARTIFICIAL INTELLIGENCE
AUTONOMOUS NAVIGATION
Mfg & Industrial Eng & Control of Product Sys
Navigation and Guidance
SAFETY
SELF OPERATION
SOFTWARE TOOLS
TRAFFIC
URBAN AREAS
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Summary:The DARPA Urban Challenge was a competition to develop autonomous vehicles capable of safely, reliably, and robustly driving in traffic. In this article we introduce Boss, the autonomous vehicle that won the challenge. Boss is a complex artificially intelligent software system embodied in a 2007 Chevy Tahoe. To navigate safely, the vehicle builds a model of the world around it in real time. This model is used to generate safe routes and motion plans both on roads and in unstructured zones. An essential part of Boss's success stems from its ability to safely handle both abnormal situations and system glitches. Published in AI Magazine, p17-28, Summer 2009. ISSN 0738-4602.