A spotlight on security and privacy risks with future household robots: attacks and lessons
Proceedings of the 11th international conference on Ubiquitous computing
Path diversity is only part of the problem
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Simultaneous local and global state estimation for robotic navigation
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Vehicle 3D localization in mountainous woodland environments
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Recent progress in road and lane detection: a survey
Machine Vision and Applications
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The DARPA Urban Challenge required robotic vehicles to travel more than 90 km through an urban environment without human intervention and included situations such as stop intersections, traffic merges, parking, and roadblocks. Team VictorTango separated the problem into three parts: base vehicle, perception, and planning. A Ford Escape outfitted with a custom drive-by-wire system and computers formed the basis for Odin. Perception used laser scanners, global positioning system, and a priori knowledge to identify obstacles, cars, and roads. Planning relied on a hybrid deliberative-reactive architecture to analyze the situation, select the appropriate behavior, and plan a safe path. All vehicle modules communicated using the JAUS (Joint Architecture for Unmanned Systems) standard. The performance of these components in the Urban Challenge is discussed and successes noted. The result of VictorTango's work was successful completion of the Urban Challenge and a third-place finish. © 2008 Wiley Periodicals, Inc.