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ECAI
2008
Springer
13 years 7 months ago
Learning to Select Object Recognition Methods for Autonomous Mobile Robots
Selecting which algorithms should be used by a mobile robot computer vision system is a decision that is usually made a priori by the system developer, based on past experience and...
Reinaldo A. C. Bianchi, Arnau Ramisa, Ramon L&oacu...
ICRA
2005
IEEE
122views Robotics» more  ICRA 2005»
13 years 11 months ago
Supervised Learning of Places from Range Data using AdaBoost
— This paper addresses the problem of classifying places in the environment of a mobile robot into semantic categories. We believe that semantic information about the type of pla...
Óscar Martínez Mozos, Cyrill Stachni...
IJRR
2010
107views more  IJRR 2010»
13 years 3 months ago
Non-parametric Learning to Aid Path Planning over Slopes
— This paper addresses the problem of closing the loop from perception to action selection for unmanned ground vehicles, with a focus on navigating slopes. A new non-parametric l...
Sisir Karumanchi, Thomas Allen, Tim Bailey, Steve ...
DANCE
2002
IEEE
13 years 10 months ago
Active Network Vision and Reality: Lessons from a Capsule-Based System
Although active networks have generated much debate in the research community, on the whole there has been little hard evidence to inform this debate. This paper aims to redress t...
David Wetherall
RAID
2009
Springer
13 years 11 months ago
VirusMeter: Preventing Your Cellphone from Spies
Due to the rapid advancement of mobile communication technology, mobile devices nowadays can support a variety of data services that are not traditionally available. With the growi...
Lei Liu, Guanhua Yan, Xinwen Zhang, Songqing Chen