Article
Robust Course-Boundary Extraction Algorithms for Autonomous Vehicles
Graduate School of Oceanography Faculty Publications
Document Type
Article
Date of Original Version
11-1-1998
Department
Oceanography
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.
Disciplines
Citation Information
Roman, C. & Reinholtz, C. (1998). Robust course-boundary extraction algorithms for autonomous vehicles. Intelligent Systems and their Applications, IEEE, vol.13, no.6 (Nov/Dec): 32-39.
DOI: 10.1109/5254.736000
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