Descripción del título
The DARPA Grand Challenge was a landmark in the field of robotics: a race by autonomous vehicles through 132 miles of rough, cross-country Nevada terrain that showcased exciting and unprecedented capabilities in robotic perception, navigation, and control. The event took place in October 2005, and drew teams of competitors from academia and industry, and many garage hobbyists. This book presents fifteen technical papers that are written at a level that makes them easily accessible to a broad technical audience, describing the technology behind most of the robotic vehicles that participated in this famous race. The papers describe each team's driverless vehicle, race strategy, and insights. As a whole, they present the state of the art in autonomous vehicle technology, and offer a glimpse of future technology for tomorrow\2019s driverless cars. This book will serve as an authoritative, archival source for the DARPA Grand Challenge and a \201Cmust have\201D for robotics students and researchers, since it describes the state of the art in perception, planning and control
Monografía
monografia Rebiun14009137 https://catalogo.rebiun.org/rebiun/record/Rebiun14009137 cr nn 008mamaa 100301s2007 gw | s |||| 0|eng d 9783540734291 978-3-540-73429-1 10.1007/978-3-540-73429-1 doi UPVA 996889430903706 UPM 991005576005504212 UAM 991007697809604211 UCAR 991007918478904213 CBUC 991004879536706711 CBUC 991000727168406712 UMO 55151 UPCT u358565 Buehler, Martin The 2005 DARPA Grand Challenge Recurso electrónico-En línea] :] The Great Robot Race edited by Martin Buehler, Karl Iagnemma, Sanjiv Singh Berlin, Heidelberg Springer Berlin Heidelberg 2007 Berlin, Heidelberg Berlin, Heidelberg Springer Berlin Heidelberg XLI, 522 p. digital XLI, 522 p. Springer Tracts in Advanced Robotics 1610-7438 36 Engineering (Springer-11647) Cornell University's 2005 DARPA Grand Challenge Entry -- SciAutonics - Auburn Engineering's Low Cost, High Speed ATV for the 2005 DARPA Grand Challenge -- The Golem Group / UCLA Autonomous Ground Vehicle in the DARPA Grand Challenge -- Team CIMAR's NaviGATOR: An Unmanned Ground Vehicle for Application to the 2005 DARPA Grand Challenge -- A Robust Approach to High-Speed Navigation for Unrehearsed Desert Terrain -- KAT-5: Robust systems for autonomous vehicle navigation in challenging and unknown terrain -- CajunBot: Architecture and Algorithms -- The Winning Robot Stanley -- The TerraMax Autonomous Vehicle -- Virginia Tech\2019s Twin Contenders: A Comparative Study of Reactive and Deliberative Navigation -- Intelligent Off-road Navigation Algorithms and Strategies of Team Desert Buckeyes in the DARPA Grand Challenge '05 -- Prospect Eleven: Princeton University's Entry in the 2005 DARPA Grand Challenge -- Cornell University's 2005 DARPA Grand Challenge Entry -- Alice: An Information-Rich Autonomous Vehicle for High-Speed Desert Navigation -- MITRE Meteor: An Off-Road Autonomous Vehicle for DARPA\2019s Grand Challenge Accesible sólo para usuarios de la UPV Recurso a texto completo The DARPA Grand Challenge was a landmark in the field of robotics: a race by autonomous vehicles through 132 miles of rough, cross-country Nevada terrain that showcased exciting and unprecedented capabilities in robotic perception, navigation, and control. The event took place in October 2005, and drew teams of competitors from academia and industry, and many garage hobbyists. This book presents fifteen technical papers that are written at a level that makes them easily accessible to a broad technical audience, describing the technology behind most of the robotic vehicles that participated in this famous race. The papers describe each team's driverless vehicle, race strategy, and insights. As a whole, they present the state of the art in autonomous vehicle technology, and offer a glimpse of future technology for tomorrow\2019s driverless cars. This book will serve as an authoritative, archival source for the DARPA Grand Challenge and a \201Cmust have\201D for robotics students and researchers, since it describes the state of the art in perception, planning and control Reproducción electrónica Forma de acceso: Web Engineering Artificial intelligence Systems theory Engineering Control Engineering Automation and Robotics 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 9783540734284 Springer Tracts in Advanced Robotics 1610-7438 36