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Model-based objects recognition in man-made environments

We describe a model-based objects recognition system which is part of an image interpretation system intended to assist autonomous vehicles navigation. The system is intended to operate in man-made environments. Behavior-based navigation of autonomous vehicles involves the recognition of navigable areas and the potential obstacles. The recognition system integrates color, shape and texture information together with the location of the vanishing point. The recognition process starts from some prior scene knowledge, that is, a generic model of the expected scene and the potential objects. The recognition system constitutes an approach where different low-level vision techniques extract a multitude of image descriptors which are then analyzed using a rule-based reasoning system to interpret the image content. This system has been implemented using CEES, the C++ embedded expert system shell developed in the Systems Engineering and Automatic Control Laboratory (University of Girona) as a specific rule-based problem solving tool. It has been especially conceived for supporting cooperative expert systems, and uses the object oriented programming paradigm

© 5th IEEE International Workshop on Robot and Human Communication, 1996, p. 358-363

IEEE

Autor: Martí Bonmatí, Joan
Casals, Alícia
Data: 1996
Resum: We describe a model-based objects recognition system which is part of an image interpretation system intended to assist autonomous vehicles navigation. The system is intended to operate in man-made environments. Behavior-based navigation of autonomous vehicles involves the recognition of navigable areas and the potential obstacles. The recognition system integrates color, shape and texture information together with the location of the vanishing point. The recognition process starts from some prior scene knowledge, that is, a generic model of the expected scene and the potential objects. The recognition system constitutes an approach where different low-level vision techniques extract a multitude of image descriptors which are then analyzed using a rule-based reasoning system to interpret the image content. This system has been implemented using CEES, the C++ embedded expert system shell developed in the Systems Engineering and Automatic Control Laboratory (University of Girona) as a specific rule-based problem solving tool. It has been especially conceived for supporting cooperative expert systems, and uses the object oriented programming paradigm
Format: application/pdf
Cita: Martí, J., i Casals, A. (1996). Robot and Human Communication, 1996. Model-based objects recognition in man-made environments. 5th IEEE International Workshop on Robot and Human Communication, 358 - 363. Recuperat 06 maig 2010, a http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=568863
ISBN: 0-7803-3253-9
Accés al document: http://hdl.handle.net/10256/2222
Llenguatge: eng
Editor: IEEE
Col·lecció: Reproducció digital del document publicat a: http://dx.doi.org/10.1109/ROMAN.1996.568863
Articles publicats (D-ATC)
És part de: © 5th IEEE International Workshop on Robot and Human Communication, 1996, p. 358-363
Drets: Tots els drets reservats
Matèria: Reconeixement de formes (Informàtica)
Programació orientada a l’objecte (Informàtica)
Robots autònoms
Autonomous robots
Object-oriented programming
Pattern recognition systems
Títol: Model-based objects recognition in man-made environments
Tipus: info:eu-repo/semantics/article
Repositori: DUGiDocs

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