Claude L. Fennema

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Given the complexity of natural language processing and computer vision, few researchers have attempted to integrate them under one approach. However, integrating natural language processing and vision might be useful for solving individual tasks like resolving ambiguous sentences through the use of visual information. For vision researchers, natural(More)
ACKNOWLEDGMENTS I consider it a great privilege to have been a member of the computer vision group at the University of Massachusetts these past eight years. My thesis advisor, Al Hanson, patiently gave me what I needed to succeed: freedom, opportunity, guidance and encouragement. For this, I am deeply grateful. With Al, Ed Riseman built a computer vision(More)
Complex problems, such as driving, can be solved more easily by decomposing them into smaller sub-problems, solving each sub-problem, and then integrating the solutions. In the case of an autonomous vehicle, the integrated system should be able to \re-act" in real time to a changing environment and to \reason" about ways to achieve its goals. This paper(More)
The aim of the Unmanned Ground Vehicle (UGV) project at the University of Massachusetts is to develop a system capable of navigating both on-road and cross country, avoiding obstacles, and determining its position using landmarks. Complex problems, such as driving, can be solved more easily by decomposing them into smaller sub-problems, solving each(More)
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