SIGMA: A Knowledge-Based Aerial Image Understanding System
SIGMA: A Knowledge-Based Aerial Image Understanding System
Modeling Visual Patterns by Integrating Descriptive and Generative Methods
International Journal of Computer Vision
BPI: Ein Blackboard-basiertes Produktionssystem für die automatische Bildauswertung
Mustererkennung 1986, 8. DAGM-Symposium
Visual Navigation for Mobile Robots: A Survey
Journal of Intelligent and Robotic Systems
Extraction of building polygons from SAR images: Grouping and decision-level in the GESTALT system
Pattern Recognition Letters
Interaction of control and knowledge in a structural recognition system
KI'09 Proceedings of the 32nd annual German conference on Advances in artificial intelligence
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Computer vision is an ever more important means for the navigation of UAVs. Here we propose a landmark recognition system looking for salient man-made infrastructure. An object-oriented structural system is preferred since it can utilize known properties of these objects such as part-of hierarchies, mutual geometric constraints of parts, generalization etc. The structure, available for use as landmark, will vary strongly with the region the UAV is supposed to navigate in. Clear object-oriented coding of the knowledge on the landmarks, their constraints, and their properties is a key to swift adaption. This contribution reports on an example: Adapting a system, designed for a central European country (Germany), for use in a more Eastern region (Turkey).