articleJournal of Field RoboticsJul 23, 2008BRONZE OA

Autonomous driving in urban environments: Boss and the Urban Challenge

Carnegie Mellon University · General Motors (United States) · +3 more institutions

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Abstract

Abstract Boss is an autonomous vehicle that uses on‐board sensors (global positioning system, lasers, radars, and cameras) to track other vehicles, detect static obstacles, and localize itself relative to a road model. A three‐layer planning system combines mission, behavioral, and motion planning to drive in urban environments. The mission planning layer considers which street to take to achieve a mission goal. The behavioral layer determines when to change lanes and precedence at intersections and performs error recovery maneuvers. The motion planning layer selects actions to avoid obstacles while making progress toward local goals. The system was developed from the ground up to address the requirements of…

Citation impact

1,501
total citations
FWCI
80.92
Percentile
100%
References
13
Citations per year

Authors

42

Topics & keywords

Keywords
  • Boss
  • Process (computing)
  • Track (disk drive)
  • Event (particle physics)
  • Computer science
  • Motion planning
  • Layer (electronics)
  • Aeronautics
UN Sustainable Development Goals
  • Sustainable cities and communities
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