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Integration of vision and decision-making in an autonomous airborne vehicle for traffic surveillance
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.
1999 (English)In: Proceedings of the International Conference on Vision Systems '99: Grand Canary, 1999Conference paper (Refereed)
Abstract [en]

In this paper we present a system which integrates computer vision and decision-making in an autonomous airborne vehicle that performs traffic surveillance tasks. The main factors that make the integration of vision and decision-making a challenging problem are: the qualitatively different kind of information at the decision-making and vision levels, the need for integration of dynamically acquired information with a priori knowledge, e.g. GIS information, and the need of close feedback and guidance of the vision module by the decision-making module. Given the complex interaction between the vision module and the decision-making module we propose the adoption of an intermediate structure, called Scene Information Manager, and describe its structure and functionalities.

National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-21629OAI: diva2:241594
Available from: 2009-10-05 Created: 2009-10-05 Last updated: 2010-01-21

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