Tactic-based motion modeling and multi-sensor tracking

Proceedings of the National Conference on Artificial Intelligence

Volumn 3, Issue , 2005, Pages 1274-1279

  Gu, Yang ^a  

^a Carnegie Mellon University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PROBABILISTIC ALGORITHMS; SENSORY INFORMATION; SUPERVISED LEARNING TECHNIQUES; TACTIC-BASED MOTION MODELS;

ALGORITHMS; CAMERAS; COMPUTER SIMULATION; MATHEMATICAL MODELS; MOTION ESTIMATION; PROBABILISTIC LOGICS;

SENSOR DATA FUSION;

EID: 29344458107     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

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2. Bar-Shalom, Y.; Li, X.-R.; and Kirubarajan, T. 2001. Estimation with Applications to Tracking and Navigation. John Wiley & Sons, Inc.
3. Browning, B.; Bruce, J.; Bowling, M.; and Veloso, M. 2004. STP: Skills, tactics and plays for multi-robot control in adversarial environments. IEEE Journal of Control and Systems Engineering.
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5. Doucet, A.; Freitas, N. D.; and Gordon, N., eds. 2001. Sequential Monte Carlo Methods in Practice. New York: Springer-Verlag.
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8. Searock, J.; Browning, B.; and Veloso, M. 2004. Turning segways into robust human-scale dynamically balanced soccer robots. Proceedings of eight RoboCup International Symposium.