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Applied mathematics / Linear filters / Robot control / Monte Carlo methods / Bayesian statistics / Particle filter / Recursive Bayesian estimation / Robotics / Kalman filter / Statistics / Control theory / Estimation theory


Decentralized Sensor Fusion with Distributed Particle Filters Matt Rosencrantz, Geoffrey Gordon, and Sebastian Thrun School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213
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Document Date: 2003-06-04 16:46:10


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City

Orlando / Quebec City / Melbourne / Acapulco / Monticello / Austin / New York / Stockholm / /

Company

Draper / Multi-Agent Systems / Simmons / Russell / /

Country

Canada / Australia / Mexico / Sweden / /

Facility

Computer Science Carnegie Mellon University / Monticello / /

IndustryTerm

software system / selection algorithm / non-selective algorithm / interactive communication protocol / present algorithm / sensor networks / ubiquitous computing / naive algorithm / obvious solution / multi-camera surveillance systems / form solutions / communication algorithm / query-response protocol / achieved using the CARMEN software system / /

Organization

IEEEComputer Society / Sebastian Thrun School of Computer Science Carnegie Mellon University Pittsburgh / American Statistical Association / Carnegie mellon / /

Person

Geoffrey Gordon / B. Together / Autonomous Robots / /

Position

single special agent / Chief / /

ProvinceOrState

Pennsylvania / Illinois / Florida / /

PublishedMedium

Journal of the American Statistical Association / Proceedings of SPIE / /

Technology

query-response protocol / selection algorithm / present algorithm / communication algorithm / laser / alternative non-selective algorithm / artificial intelligence / ICP algorithm / interactive communication protocol / alternative decentralized algorithms / CONDENSATION / naive algorithm / Digital Imaging / simulation / 4.1 Basic Algorithm / /

URL

www.cs.cmu.edu / /

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