Robust Course-Boundary Extraction Algorithms for Autonomous Vehicles

Authors:
Chris Roman;Charles Reinholtz
Affiliations:
-;-
Venue:
IEEE Intelligent Systems
Year:
1998

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Abstract

Practical autonomous robotic vehicles require dependable methods for accurately identifying course or roadway boundaries. The authors have developed a method to reliably extract the boundary line using simple dynamic thresholding, noise filtering, and blob removal. This article describes their efforts to apply this procedure in developing an autonomous vehicle to compete in the International Unmanned Ground Robotics Competition.