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AROBOTS
2000
137views more  AROBOTS 2000»
13 years 7 months ago
Acquiring Mobile Robot Behaviors by Learning Trajectory Velocities
Abstract. The development of robots that learn from experience is a relentless challenge confronting artificial intelligence today. This paper describes a robot learning method whi...
Koren Ward, Alexander Zelinsky
EDBT
2010
ACM
205views Database» more  EDBT 2010»
13 years 11 months ago
Advanced knowledge discovery on movement data with the GeoPKDD system
The growing availability of mobile devices produces an enormous quantity of personal tracks which calls for advanced analysis methods capable of extracting knowledge out of massiv...
Mirco Nanni, Roberto Trasarti, Chiara Renso, Fosca...
GIS
2008
ACM
14 years 8 months ago
Privacy: preserving trajectory collection
In order to provide context?aware Location?Based Services, real location data of mobile users must be collected and analyzed by spatio?temporal data mining methods. However, the d...
Gyözö Gidófalvi, Torben Bach Pede...
GIS
2007
ACM
14 years 1 months ago
Predicting future locations using clusters' centroids
As technology advances we encounter more available data on moving objects, thus increasing our ability to mine spatiotemporal data. We can use this data for learning moving object...
Sigal Elnekave, Mark Last, Oded Maimon
MDM
2007
Springer
14 years 1 months ago
Moppy-Mobile Object Position Prediction Application
—In this paper we present Moppy — an application for mobile object position prediction. Moppy is an easy to use, intuitive application with interactive graphical user interface...
Lukasz Rosikiewicz, Mikolaj Morzy