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The DARPA Urban Challenge [...
This volume, edited by Martin Buehler, Karl Iagnemma and Sanjiv Singh, presents a unique and comprehensive collection of the scientific results obtained by finalist teams that participated in the DARPA Urban Challenge in November 2007, in the mock city environment of the George Air Force base in Victorville, California. This book is the companion of a previous volume by the same editors which was devoted to the Grand Challenge, which took place in the Nevada desert during October 2005, and was the second in the series of autonomous vehicle races sponsored by DARPA. The Urban Challenge demonstrated how cutting-edge perception, control, and motion planning techniques can allow intelligent autonomous vehicles not only to travel significant distances in off-road terrain, but also to operate in urban scenarios. Beyond the value for future military applications--which motivated DARPA to sponsor the race--the expected impact in the commercial sector for automotive manufacturers is equally, if not more, important: autonomous sensing and control constitute key technologies for vehicles of the future, and might help save thousands of lives that are now lost in traffic accidents. As with the previous STAR volume, the original papers collected in this book were initially published in special issues of the Journal of Field Robotics. Our series is proud to collect them in an archival publication as a special STAR volume!
Monografía
monografia Rebiun14079864 https://catalogo.rebiun.org/rebiun/record/Rebiun14079864 cr nn 008mamaa 100301s2009 gw | s |||| 0|eng d 9783642039911 978-3-642-03991-1 10.1007/978-3-642-03991-1 doi UPM 991005576002604212 UPVA 996880862003706 UAM 991007781761604211 UCAR 991007918476004213 UMO 110931 TJFM bicssc TJFD bicssc TEC004000 bisacsh TEC037000 bisacsh 629.8 23 Buehler, Martin The DARPA Urban Challenge Recurso electrónico-En línea] Autonomous Vehicles in City Traffic edited by Martin Buehler, Karl Iagnemma, Sanjiv Singh Berlin, Heidelberg Springer Berlin Heidelberg 2009 Berlin, Heidelberg Berlin, Heidelberg Springer Berlin Heidelberg XXXV, 628 p. digital XXXV, 628 p. Springer Tracts in Advanced Robotics 1610-7438 56 Engineering (Springer-11647) Autonomous Driving in Urban Environments: Boss and the Urban Challenge -- Motion Planning in Urban Environments -- Junior: The Stanford Entry in the Urban Challenge -- Odin: Team VictorTango\2019s Entry in the DARPA Urban Challenge -- A Perception-Driven Autonomous Urban Vehicle -- Little Ben: The Ben Franklin Racing Team\2019s Entry in the 2007 DARPA Urban Challenge -- Team Cornell\2019s Skynet: Robust Perception and Planning in an Urban Environment -- A Practical Approach to Robotic Design for the DARPA Urban Challenge -- Team AnnieWAY\2019s Autonomous System for the DARPA Urban Challenge 2007 -- Driving with Tentacles - Integral Structures for Sensing and Motion -- Caroline: An Autonomously Driving Vehicle for Urban Environments -- The MIT \2013 Cornell Collision and Why It Happened -- A Perspective on Emerging Automotive Safety Applications, Derived from Lessons Learned through Participation in the DARPA Grand Challenges -- TerraMax: Team Oshkosh Urban Robot Accesible sólo para usuarios de la UPV Recurso a texto completo This volume, edited by Martin Buehler, Karl Iagnemma and Sanjiv Singh, presents a unique and comprehensive collection of the scientific results obtained by finalist teams that participated in the DARPA Urban Challenge in November 2007, in the mock city environment of the George Air Force base in Victorville, California. This book is the companion of a previous volume by the same editors which was devoted to the Grand Challenge, which took place in the Nevada desert during October 2005, and was the second in the series of autonomous vehicle races sponsored by DARPA. The Urban Challenge demonstrated how cutting-edge perception, control, and motion planning techniques can allow intelligent autonomous vehicles not only to travel significant distances in off-road terrain, but also to operate in urban scenarios. Beyond the value for future military applications--which motivated DARPA to sponsor the race--the expected impact in the commercial sector for automotive manufacturers is equally, if not more, important: autonomous sensing and control constitute key technologies for vehicles of the future, and might help save thousands of lives that are now lost in traffic accidents. As with the previous STAR volume, the original papers collected in this book were initially published in special issues of the Journal of Field Robotics. Our series is proud to collect them in an archival publication as a special STAR volume! Reproducción electrónica Forma de acceso: Web Engineering Artificial intelligence Systems theory Engineering Control, Robotics, Mechatronics Artificial Intelligence (incl. Robotics) Machinery and Machine Elements Systems Theory, Control Iagnemma, Karl Singh, Sanjiv SpringerLink (Servicio en línea) Springer eBooks Springer eBooks Printed edition 9783642039904 Springer Tracts in Advanced Robotics 1610-7438 56