Carnegie Mellon University
Browse
file.pdf (1.15 MB)

A Reasoning Framework for Autonomous Urban Driving

Download (1.15 MB)
journal contribution
posted on 2008-01-01, 00:00 authored by Dave Ferguson, Christoper Baker, Maxim Lickachev, John Dolan
Urban driving is a demanding task for autonomous vehicles as it requires the development and integration of several challenging capabilities, including highlevel route planning, interaction with other vehicles, complex maneuvers, and ultra-reliability. In this paper, we present a reasoning framework for an autonomous vehicle navigating through urban environments. Our approach combines routelevel planning, context-sensitive local decision making, and sophisticated motion planning to produce safe, intelligent actions for the vehicle. We provide examples from an implementation on an autonomous passenger vehicle that has driven over 3000 autonomous kilometers and competed in, and won, the Urban Challenge.

History

Publisher Statement

"©2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE." "This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder."

Date

2008-01-01

Usage metrics

    Categories

    Keywords

    Robotics

    Licence

    In Copyright

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC