Bayesian filtering for location estimation

IEEE Pervasive Computing

Volumn 2, Issue 3, 2003, Pages 24-33

  Fox, Dieter ^a,c   Hightower, Jeffrey ^a   Liao, Lin ^a,c   Schulz, Dirk ^a,c   Bordello, Gaetano ^a,b,c  

^a UNIVERSITY OF WASHINGTON   (United States)

^b INTEL CORPORATION   (United States)

^c University of Washington   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN FILTERING; GRID-BASED METHODS; INFRARED BADGES; PERVASIVE COMPUTING;

COMPUTATIONAL COMPLEXITY; GRAPH THEORY; INFORMATION TECHNOLOGY; KALMAN FILTERING; LASER APPLICATIONS; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; PROBABILITY DISTRIBUTIONS; PROBLEM SOLVING; RANDOM PROCESSES; REAL TIME SYSTEMS; RELIABILITY; ROBUSTNESS (CONTROL SYSTEMS); SENSOR DATA FUSION; THREE DIMENSIONAL COMPUTER GRAPHICS;

COMPUTER SCIENCE;

EID: 3042786636     PISSN: 15361268     EISSN: None     Source Type: Journal    
DOI: 10.1109/MPRV.2003.1228524     Document Type: Article

References (13)

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5. D. Fox, "Adapting the Sample Size in Particle Filters through KLD-Sampling," Int'l J. Robotics Research, vol. 22, to be published, 2003.
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9. S. Thrun, "Robotic Mapping: A Survey," Exploring Artificial Intelligence in the New Millennium, G. Lakemeyer and B. Nevel, eds., Morgan Kaufmann, 2002.
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11. D. Schulz, D. Fox, and J. Hightower, "People Tracking with Anonymous and ID Sensors Using Rao-Blackwellised Particle Filters," Proc. Int'l Joint Conf. Artificial Intelligence (IJCAI), Morgan Kauffman, to be published, 2003.
12. J. Hightower, B. Brumitt, and G. Borriello, "The Location Stack: A Layered Model for Location in Ubiquitous Computing," Proc. 4th IEEE Workshop Mobile Computing Systems & Applications (WMCSA 2002), IEEE CS Press, 2002, pp. 22-28.
13. K. Murphy, Dynamic Bayesian Networks; Representation, Inference and Learning, PhD thesis, Computer Science Division, UC, Berkeley, 2002.