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Tracking using a radar and a problem specific proposal distribution in a particle filter

โœ Scribed by Maskell, S.; Briers, M.; Wright, R.; Horridge, P.

Book ID
114456637
Publisher
The Institution of Electrical Engineers
Year
2005
Tongue
English
Weight
256 KB
Volume
152
Category
Article
ISSN
1350-2395

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This paper proposes a novel way to combine different observation models in a particle filter framework. This, so called, auto-adjustable observation model, enhance the particle filter accuracy when the tracked objects overlap without infringing a great runtime penalty to the whole tracking system. T