Function-based design process for an intelligent ground vehicle vision system

Robert L. Nagel; Kenneth L. Perry; Robert B. Stone; Daniel A. McAdams

doi:10.1117/1.3528476

1 October 2010 Function-based design process for an intelligent ground vehicle vision system

Robert L. Nagel, Kenneth L. Perry, Robert B. Stone, Daniel A. McAdams

Author Affiliations +

Journal of Electronic Imaging, Vol. 19, Issue 4, 043024 (October 2010). https://doi.org/10.1117/1.3528476

Abstract

An engineering design framework for an autonomous ground vehicle vision system is discussed. We present both the conceptual and physical design by following the design process, development and testing of an intelligent ground vehicle vision system constructed for the 2008 Intelligent Ground Vehicle Competition. During conceptual design, the requirements for the vision system are explored via functional and process analysis considering the flows into the vehicle and the transformations of those flows. The conceptual design phase concludes with a vision system design that is modular in both hardware and software and is based on a laser range finder and camera for visual perception. During physical design, prototypes are developed and tested independently, following the modular interfaces identified during conceptual design. Prototype models, once functional, are implemented into the final design. The final vision system design uses a ray-casting algorithm to process camera and laser range finder data and identify potential paths. The ray-casting algorithm is a single thread of the robot's multithreaded application. Other threads control motion, provide feedback, and process sensory data. Once integrated, both hardware and software testing are performed on the robot. We discuss the robot's performance and the lessons learned.

©(2010) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Robert L. Nagel, Kenneth L. Perry, Robert B. Stone, and Daniel A. McAdams "Function-based design process for an intelligent ground vehicle vision system," Journal of Electronic Imaging 19(4), 043024 (1 October 2010). https://doi.org/10.1117/1.3528476

Published: 1 October 2010

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