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عنوان
A Reliability-Aware Fusion Concept Toward Robust Ego-Lane Estimation Incorporating Multiple Sources /

پدید آورنده
Tuan Tran Nguyen.

موضوع
Context-aware computing.,Wireless sensor networks.,Context-aware computing.,Wireless sensor networks.

رده
Q342QA76
.
9
.
D343TJ210

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
3658269499
(Number (ISBN
9783658269494
Erroneous ISBN
3658269480
Erroneous ISBN
9783658269487

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
A Reliability-Aware Fusion Concept Toward Robust Ego-Lane Estimation Incorporating Multiple Sources /
General Material Designation
[Book]
First Statement of Responsibility
Tuan Tran Nguyen.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Wiesbaden :
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
2019.

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
1 online resource (180 pages)

SERIES

Series Title
AutoUni-Schriftenreihe ;
Volume Designation
Band 140

INTERNAL BIBLIOGRAPHIES/INDEXES NOTE

Text of Note
Includes bibliographical references.

CONTENTS NOTE

Text of Note
Reliability-Aware Fusion Framework -- Assessing and Learning Reliability for Ego-Lane Estimation -- Reliability-Based Ego-Lane Estimation Using Multiple Sources.
0

SUMMARY OR ABSTRACT

Text of Note
To tackle the challenges of the road estimation task, many works employ a fusion of multiple sources. By that, a commonly made assumption is that the sources always are equally reliable. However, this assumption is inappropriate since each source has certain advantages and drawbacks depending on the operational scenarios. Therefore, Tuan Tran Nguyen proposes a novel concept by incorporating reliabilities into the multi-source fusion so that the road estimation task can alternately select only the most reliable sources. Thereby, the author estimates the reliability for each source online using classifiers trained with the sensor measurements, the past performance and the context. Using real data recordings, he shows via experimental results that the presented reliability-aware fusion increases the availability of automated driving up to 7 percentage points compared to the average fusion. Contents Reliability-Aware Fusion Framework Assessing and Learning Reliability for Ego-Lane Estimation Reliability-Based Ego-Lane Estimation Using Multiple Sources Target Groups Scientists and students in the fields of IT, fusion and automated driving Engineers working in industrial research and development of automated driving About the Author Tuan Tran Nguyen received the Master's degree in computer science and the Ph.D. degree from Otto-von-Guericke University Magdeburg, Germany, in 2013 and 2019, respectively. His research focuses on methods and architectures for reliability-based sensor fusion in intelligent vehicles.

OTHER EDITION IN ANOTHER MEDIUM

Title
A Reliability-Aware Fusion Concept Toward Robust Ego-Lane Estimation Incorporating Multiple Sources.
International Standard Book Number
9783658269487

TOPICAL NAME USED AS SUBJECT

Context-aware computing.
Wireless sensor networks.
Context-aware computing.
Wireless sensor networks.

DEWEY DECIMAL CLASSIFICATION

Number
004
Edition
23

LIBRARY OF CONGRESS CLASSIFICATION

Class number
Q342QA76
.
9
.
D343TJ210
Class number
QA76
.
5915

PERSONAL NAME - PRIMARY RESPONSIBILITY

Nguyen, Tuan Tran.

ORIGINATING SOURCE

Date of Transaction
20200823185221.0
Cataloguing Rules (Descriptive Conventions))
pn

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

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