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Autonomous driving in urban environments: Boss and the Urban Challenge
Journal of field robotics, 2008-08, Vol.25 (8), p.425-466
Urmson, Chris
Anhalt, Joshua
Bagnell, Drew
Baker, Christopher
Bittner, Robert
Clark, M. N.
Dolan, John
Duggins, Dave
Galatali, Tugrul
Geyer, Chris
Gittleman, Michele
Harbaugh, Sam
Hebert, Martial
Howard, Thomas M.
Kolski, Sascha
Kelly, Alonzo
Likhachev, Maxim
McNaughton, Matt
Miller, Nick
Peterson, Kevin
Pilnick, Brian
Rajkumar, Raj
Rybski, Paul
Salesky, Bryan
Seo, Young-Woo
Singh, Sanjiv
Snider, Jarrod
Stentz, Anthony
Whittaker, William "Red"
Wolkowicki, Ziv
Ziglar, Jason
Bae, Hong
Brown, Thomas
Demitrish, Daniel
Litkouhi, Bakhtiar
Nickolaou, Jim
Sadekar, Varsha
Zhang, Wende
Struble, Joshua
Taylor, Michael
Darms, Michael
Ferguson, Dave
2008
Volltextzugriff (PDF)
Details
Autor(en) / Beteiligte
Urmson, Chris
Anhalt, Joshua
Bagnell, Drew
Baker, Christopher
Bittner, Robert
Clark, M. N.
Dolan, John
Duggins, Dave
Galatali, Tugrul
Geyer, Chris
Gittleman, Michele
Harbaugh, Sam
Hebert, Martial
Howard, Thomas M.
Kolski, Sascha
Kelly, Alonzo
Likhachev, Maxim
McNaughton, Matt
Miller, Nick
Peterson, Kevin
Pilnick, Brian
Rajkumar, Raj
Rybski, Paul
Salesky, Bryan
Seo, Young-Woo
Singh, Sanjiv
Snider, Jarrod
Stentz, Anthony
Whittaker, William "Red"
Wolkowicki, Ziv
Ziglar, Jason
Bae, Hong
Brown, Thomas
Demitrish, Daniel
Litkouhi, Bakhtiar
Nickolaou, Jim
Sadekar, Varsha
Zhang, Wende
Struble, Joshua
Taylor, Michael
Darms, Michael
Ferguson, Dave
Titel
Autonomous driving in urban environments: Boss and the Urban Challenge
Ist Teil von
Journal of field robotics, 2008-08, Vol.25 (8), p.425-466
Ort / Verlag
Hoboken: Wiley Subscription Services, Inc., A Wiley Company
Erscheinungsjahr
2008
Quelle
Wiley Online Library
Beschreibungen/Notizen
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 the DARPA Urban Challenge using a spiral system development process with a heavy emphasis on regular, regressive system testing. During the National Qualification Event and the 85‐km Urban Challenge Final Event, Boss demonstrated some of its capabilities, qualifying first and winning the challenge. © 2008 Wiley Periodicals, Inc.
Sprache
Englisch
Identifikatoren
ISSN: 1556-4959
eISSN: 1556-4967
DOI: 10.1002/rob.20255
Titel-ID: cdi_proquest_miscellaneous_34061504
Format
–
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