Abstract

One cornerstone for realising automated driving systems is an appropriate handling of uncertainties in the environment perception and situation interpretation. Uncertainties arise due to noisy sensor measurements or the unknown future evolution of a traffic situation. This work contributes to the understanding of these uncertainties by modelling and propagating them with parametric probability distributions.


Original document

The different versions of the original document can be found in:

https://publikationen.bibliothek.kit.edu/1000056749/3869800,
https://doi.org/10.5445/IR/1000056749,
http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:swb:90-567492
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Published on 01/01/2016

Volume 2016, 2016
DOI: 10.5445/ir/1000056749
Licence: CC BY-NC-SA license

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