A confidence measure for vehicle tracking based on a generalization of Bayes estimation

Richard Altendorfer, Stephan Matzka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

In safety-critical driver assistance systems such as automatic emergency braking that require the estimation of the vehicle's environment usually a measure of confidence or probability of existence for tracked objects is required. We review and assess existing approaches of obtaining such measures. We propose a new method of computing a probability of existence by relaxing the underlying assumption of a Bayes estimator. The benefits of this approach compared to a standard Bayes estimator are demonstrated and illustrated by experimental results.

Original languageEnglish
Title of host publication2010 IEEE Intelligent Vehicles Symposium, IV 2010
Pages766-772
Number of pages7
DOIs
Publication statusPublished - 2010
Event2010 IEEE Intelligent Vehicles Symposium - La Jolla, CA, United States
Duration: 21 Jun 201024 Jun 2010

Conference

Conference2010 IEEE Intelligent Vehicles Symposium
Abbreviated titleIV 2010
CountryUnited States
CityLa Jolla, CA
Period21/06/1024/06/10

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