Skip to content
Free planNo credit card requiredStart writing

article · Fachbereich Informatik (University of Stuttgart) · 2008

Preprocessing Position Data of Mobile Objects

Hönle, Nicola, Grossmann, Matthias, Nicklas, Daniela, Mitschang, Bernhard

Cited by 1Abstract and details only

Abstract

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

Cite this paper

APA 7

Hönle, N., Grossmann, M., Nicklas, D., & Mitschang, B. (2008). Preprocessing Position Data of Mobile Objects. Fachbereich Informatik (University of Stuttgart).

MLA 9

Hönle, Nicola, et al. “Preprocessing Position Data of Mobile Objects.” Fachbereich Informatik (University of Stuttgart), 2008.

Chicago

Hönle, Nicola, Matthias Grossmann, Daniela Nicklas, and Bernhard Mitschang. 2008. “Preprocessing Position Data of Mobile Objects.” Fachbereich Informatik (University of Stuttgart).

Harvard

Hönle, N. et al. (2008) ‘Preprocessing Position Data of Mobile Objects’, Fachbereich Informatik (University of Stuttgart).

BibTeX
@article{honle2008preprocessing,
  title = {{Preprocessing Position Data of Mobile Objects}},
  author = {Hönle, Nicola and Grossmann, Matthias and Nicklas, Daniela and Mitschang, Bernhard},
  journal = {Fachbereich Informatik (University of Stuttgart)},
  year = {2008}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.