Black Knight: An autonomous vehicle for competition

Authors

    Authors

    F. G. Gonzalez; R. Andres; D. Deal; F. Goergen; M. Rhodes; T. Roberts; G. Stein; S. Wilson;S. Wong

    Comments

    Authors: contact us about adding a copy of your work at STARS@ucf.edu

    Abbreviated Journal Title

    J. Robot. Syst.

    Keywords

    Robotics

    Abstract

    Black Knight, the University of Central Florida's vehicle in the 11th Intelligent Ground Vehicle Competition (IGVC) competed in 2003. Completing in 5th place in the navigational challenge and 10th in the autonomous challenge in its first competition has proven our vehicle to be a strong competitor in this competition. The vehicle has many interesting features that allow it to achieve its success. The vehicle's 300 lb. capacity allows for two onboard full-sized computers and two 12 V marine batteries that power the computers for up to 2 h. The vision system is not a simple reactive system but rather it classifies its view into objects and builds a map of the territory as it learns of its features while traveling. Two transformations and the location data from the GPS and other sensors are used to associate the locations in the image to locations in the map. The operations of the vehicle are modeled after the typical operations of a ship. We have programs that perform the functions of the captain, the helm, the navigator, and the engineer. In addition we have a program performing sensor data fusion from the GPS, compass, and wheel encoder data. The navigation uses an adapted two-dimensional approximate cell decomposition method that satisfies the nonholononic constraints of our vehicle and allows it to find the shortest path to the goal while avoiding all obstacles. (C) 2004 Wiley Periodicals, Inc.

    Journal Title

    Journal of Robotic Systems

    Volume

    21

    Issue/Number

    9

    Publication Date

    1-1-2004

    Document Type

    Article

    Language

    English

    First Page

    451

    Last Page

    460

    WOS Identifier

    WOS:000223258600001

    ISSN

    0741-2223

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