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151
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TNN
2008
119views more  TNN 2008»
15 years 3 months ago
Selecting Useful Groups of Features in a Connectionist Framework
Abstract--Suppose for a given classification or function approximation (FA) problem data are collected using sensors. From the output of the th sensor, features are extracted, ther...
Debrup Chakraborty, Nikhil R. Pal
PERCOM
2009
ACM
15 years 10 months ago
Opening Pervasive Computing to the Masses Using the SEAP Middleware
— The increasing availability of sensing devices has made the possibility of context-aware pervasive computing applications real. However, constructing this software requires ext...
Seth Holloway, Drew Stovall, Jorge Lara-Garduno, C...
CVPR
2005
IEEE
16 years 5 months ago
Localization in Urban Environments: Monocular Vision Compared to a Differential GPS Sensor
In this paper we present a method for computing the localization of a mobile robot with reference to a learning video sequence. The robot is first guided on a path by a human, whi...
Eric Royer, Maxime Lhuillier, Michel Dhome, Thierr...
125
Voted
DMSN
2009
ACM
15 years 10 months ago
Extracting tennis statistics from wireless sensing environments
Creating statistics from sporting events is now widespread with most efforts to automate this process using various sensor devices. The problem with many of these statistical app...
Adel Shaeib, Kenneth Conroy, Mark Roantree
CIS
2010
Springer
14 years 10 months ago
Sensor Graphs for Guaranteed Cooperative Localization Performance
A group of mobile robots can localize cooperatively, using relative position and absolute orientation measurements, fused through an extended Kalman filter (ekf). The topology of ...
Y. Yuan, H. G. Tanner