Adaptive state multiple-hypothesis tracking
Abstract
In tracking algorithms where measurements from various sensors are combined the track state representation is usually dependent on the type of sensor information that is received. When a multi-hypothesis tracking algorithm is used the probabilities of the different hypotheses containing tracks in different representations need to be re-evaluated when track state representations are changed. For the particular case of trilateration a method is presented to adapt the state representation as more information becomes available. A discussion is given on how to re-evaluate the probabilities of the hypotheses leading to a method for the trilateration case. This is illustrated by a simple example.
- Citation
- BibTeX
Kleef, J. v. & Kester, L.,
(2006).
Adaptive state multiple-hypothesis tracking.
In:
Hochberger, C. & Liskowsky, R.
(Hrsg.),
INFORMATIK 2006 – Informatik für Menschen, Band 1.
Bonn:
Gesellschaft für Informatik e.V..
(S. 339-343).
@inproceedings{mci/Kleef2006,
author = {Kleef, Jelle van AND Kester, Leon},
title = {Adaptive state multiple-hypothesis tracking},
booktitle = {INFORMATIK 2006 – Informatik für Menschen, Band 1},
year = {2006},
editor = {Hochberger, Christian AND Liskowsky, Rüdiger} ,
pages = { 339-343 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
author = {Kleef, Jelle van AND Kester, Leon},
title = {Adaptive state multiple-hypothesis tracking},
booktitle = {INFORMATIK 2006 – Informatik für Menschen, Band 1},
year = {2006},
editor = {Hochberger, Christian AND Liskowsky, Rüdiger} ,
pages = { 339-343 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
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More Info
ISBN: 978-3-88579-187-4
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2006
Language:
(en)

Content Type: Text/Conference Paper