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

Richard Altendorfer; Stephan Matzka

doi:10.1109/IVS.2010.5548027

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

Richard Altendorfer, Stephan Matzka

School of Engineering & Physical Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	2010 IEEE Intelligent Vehicles Symposium, IV 2010
Pages	766-772
Number of pages	7
DOIs	https://doi.org/10.1109/IVS.2010.5548027
Publication status	Published - 2010
Event	2010 IEEE Intelligent Vehicles Symposium - La Jolla, CA, United States Duration: 21 Jun 2010 → 24 Jun 2010

Conference

Conference	2010 IEEE Intelligent Vehicles Symposium
Abbreviated title	IV 2010
Country/Territory	United States
City	La Jolla, CA
Period	21/06/10 → 24/06/10

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10.1109/IVS.2010.5548027

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title = "A confidence measure for vehicle tracking based on a generalization of Bayes estimation",

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.",

author = "Richard Altendorfer and Stephan Matzka",

year = "2010",

doi = "10.1109/IVS.2010.5548027",

language = "English",

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note = "2010 IEEE Intelligent Vehicles Symposium, IV 2010 ; Conference date: 21-06-2010 Through 24-06-2010",

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AU - Altendorfer, Richard

AU - Matzka, Stephan

PY - 2010

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N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=77956546451&partnerID=8YFLogxK

U2 - 10.1109/IVS.2010.5548027

DO - 10.1109/IVS.2010.5548027

M3 - Conference contribution

SN - 9781424478668

SP - 766

EP - 772

BT - 2010 IEEE Intelligent Vehicles Symposium, IV 2010

T2 - 2010 IEEE Intelligent Vehicles Symposium

Y2 - 21 June 2010 through 24 June 2010

ER -

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

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