Back to Results
First PageMeta Content
Data analysis / Covariance and correlation / Linear filters / Kalman filter / Covariance / Autonomous underwater vehicle / Fisher information / Maximum likelihood / Expected value / Statistics / Estimation theory / Robot control


Opportunistic Localization of Underwater Robots using Drifters and Boats Filippo Arrichiello, Hordur K. Heidarsson, Gaurav S. Sukhatme Abstract— The paper characterizes the performance of Autonomous Underwater Vehicle
Add to Reading List

Document Date: 2013-06-01 19:27:52


Open Document

File Size: 1,34 MB

Share Result on Facebook

Company

CT C DV L C Comp / MIT Press / YSI Inc. / Wireless Adhoc Networks / Adaptive Communications Systems / Robotic Embedded Systems Laboratory / /

Country

United States / Italy / /

/

Facility

University of Southern California / University of Cassino / Robotic Embedded Systems Laboratory / /

IndustryTerm

estimated online state / trilateration algorithms / range-bearing localization algorithms / trilateration algorithm / navigation technologies / localization algorithms / ad-hoc localization solutions / mobile robot networks / Online estimation / localization algorithm / online approximate estimation / localization systems / /

Organization

University of Cassino / Inertial Measurement Unit / MIT / Maximum-Likelihood Data Association / University of Southern California / Los Angeles / /

Person

Density As / /

Position

Prime Minister / term drifter / Fisher Information Matrix / drifter / RT / seen drifter / single drifter / A. Varying Drifter / /

Product

Pentax K-x Digital Camera / /

ProgrammingLanguage

D / R / C / T / /

ProvinceOrState

Southern California / /

Region

Southern California / /

SportsEvent

USBL / /

Technology

navigation technologies / trilateration algorithms / encounter-based protocols / RAM / range-bearing localization algorithms / GPS / localization algorithms / trilateration algorithm / simulation / localization algorithm / fusing GPS / /

SocialTag