Anchoring symbols to vision data by fuzzy logic

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1638, Issue , 1999, Pages 104-115

  Coradeschi, Silvia ^a   Saotti, Alessandro ^b  

^a LINKÖPING UNIVERSITY   (Sweden)

^b ÖREBRO UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

INTELLIGENT AGENTS;

ANCHORING TECHNIQUE; PARTIAL MATCHES; PHYSICAL ENVIRONMENTS; UNMANNED HELICOPTER; VISION DATA; VISION SYSTEMS;

FUZZY LOGIC;

EID: 84947942272     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-48747-6_10     Document Type: Conference Paper

References (10)

1. H. Bandemer and W. Naether, editors. Fuzzy data analysis. Kluwer Academic, 1992.
2. I. Bloch. Information combination operators for data fusion: A comparative review with classification. IEEE Trans. on Systems, Man, and Cybernetics, A-26(1):52-67, 1996.
3. S. Coradeschi, L. Karlsson, and K. Nordberg. Integration of vision and decisionmaking in an autonomous airborne vehicle for traffic surveillance. In H. I. Christiansen, editor, Computer Vision Systems, volume 1542 of LNCS, pages 216-230, Berlin, Germany, 1999. Springer.
4. G. Klir and T. Folger. Fuzzy sets, uncertainty, and information. Prentice-Hall, 1988.
5. D. Kortenkamp, P. Bonasso, and R. Murphy, editors. Artificial Intelligence and Mobile Robots. MIT Press, Boston, MA, 1998.
6. E. H. Ruspini. On the semantics of fuzzy logic. Int. J. of Approximate Reasoning, 5:45-88, 1991.
7. A. Saffiotti. Pick-up what? In C. Bäckström and E. Sandewall, editors, Current Trends in AI Planning - Proe. of EWSP '93, pages 166-177. IOS Press, Amsterdam, NL, 1994.
8. S. Weber. A general concept of fuzzy connectives, negations and implications based on t-norms and t-conorms. Fuzzy sets and systems, 11:115-134, 1983.
9. WITAS web page: http://www.ida.liu.se/ext/witas/.
10. L. A. Zadeh. Fuzzy sets. Information and Control, 8:338-353, 1965.