The VictorTango Architecture for Autonomous Navigation in the DARPA Urban Challenge

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

To solve the autonomous urban driving problem presented by the 2007 DARPA urban challenge, team VictorTango developed a tri-level architecture with a deliberative-reactive-deliberative structure. The VictorTango architecture emphasizes a robust, reusable, and modular design, using hardware-independent virtual actuators and virtual sensors. Details of the urban challenge implementation are provided, highlighting the functionalities and interactions of different modules within the architecture. Situational examples from the urban challenge problem illustrate the performance of the architecture in real-world situations, and communications latencies with their effect on decision making are analyzed. Finally, recommendations for future refinement of the architecture are presented. The VictorTango architecture ultimately proved capable of completing the urban challenge problem. Furthermore, the modularity, hardware independence, and robustness of the architecture have enabled it to be applied to other platforms and other problems in the unmanned systems field.
Original languageAmerican English
Title of host publicationExperience from the DARPA Urban Challenge
StatePublished - 2012

Keywords

  • traffic management
  • city driving
  • autonomous vehicles

Disciplines

  • Computer and Systems Architecture
  • Mechanical Engineering

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