Article in Proceedings INPROC-2008-51

BibliographyHönle, Nicola; Grossmann, Matthias; Nicklas, Daniela; Mitschang, Bernhard: Preprocessing Position Data of Mobile Objects.
In: Proceedings of the 9th International Conference on Mobile Data Management (MDM'08); Beijing, China, April 27-30, 2008..
University of Stuttgart : Collaborative Research Center SFB 627 (Nexus: World Models for Mobile Context-Based Systems).
pp. 1-8, german.
IEEE computer society, April 2008.
ISBN: 978-0-7695-3154-0.
Article in Proceedings (Conference Paper).
CR-SchemaH.2.8 (Database Applications)
G.1.2 (Numerical Analysis Approximation)
Abstract

We present the design and implementation of a component for the preprocessing of position data taken from moving objects. The movement of mobile objects is represented by piecewise functions over time that approximate the real object movement and significantly reduce the initial data volume such that efficient storage and analysis of object trajectories can be achieved. The maximal acceptable deviation---an input parameter of our algorithms---of the approximations also includes the uncertainty of the position sensor measurements. We analyze and compare five different lossy preprocessing methods. Our results clearly indicate that even with simple approaches, a more than sufficient overall performance can be achieved.

Contactnicola.hoenle@ipvs.uni-stuttgart.de
Department(s)University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems
Project(s)SFB-627, B1 (University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems)
SFB-627, B5 (University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems)
Entry dateJune 17, 2008