The DARPA Urban Challenge [electronic resource] : Autonomous Vehicles in City Traffic / edited by Martin Buehler, Karl Iagnemma, Sanjiv Singh.

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 VictorTangos Entry in the DARPA Urban Challenge -- A Perception-Driven Autonomous Urban Vehicle -- Little Ben: The Ben Franklin Racing Teams Entry in the 2007 DARPA Urban Challenge -- Team Cornells Skynet: Robust Perception and Planning in an Urban Environment -- A Practical Approach to Robotic Design for the DARPA Urban Challenge -- Team AnnieWAYs 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 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.

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!

ZDB-2-ENG