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document type:
congress contribution (original) 
title:
A Statistical Learning Approach for Estimating the Reliability of Crash Severity Predictions 
keywords:
Crash Severity Estimation, Statistical Learning 
authors:
Marcus Müller, Parthasarathy Nadarajan, Michael Botsch, Stefan Katzenbogen, Dennis Böhmländer and Wolfgang Utschick 
pages:
congress title:
2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) 
year:
2016 
month:
November 
abstract:
Ahead of an unavoidable collision, the actual crash constellation and along with it, the crash severity can significantly change based on the driver actions. To justify the use of safety measures like airbags, prior to an accident, the severity of the predicted crash must be high enough and the crash severity prediction itself must be reliable. In this work, a machine learning driven reliability estimator for crash severity predictions is presented. The reliability estimate is obtained b...    »
 
language:
en 
WWW:
TUM-institution:
Professur für Methoden der Signalverarbeitung 
ingested:
29.01.2018 
last change:
29.01.2018 
format:
text