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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	A Reliability-Aware Fusion Concept Toward Robust Ego-Lane Estimation Incorporating Multiple Sources/ by Tuan Tran Nguyen.
作者:	Nguyen, Tuan Tran.
面頁冊數:	XXIII, 164 p. 84 illus., 25 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational intelligence. -
電子資源:	https://doi.org/10.1007/978-3-658-26949-4
ISBN:	9783658269494

A Reliability-Aware Fusion Concept Toward Robust Ego-Lane Estimation Incorporating Multiple Sources
Nguyen, Tuan Tran.

A Reliability-Aware Fusion Concept Toward Robust Ego-Lane Estimation Incorporating Multiple Sources[electronic resource] /by Tuan Tran Nguyen. - 1st ed. 2020. - XXIII, 164 p. 84 illus., 25 illus. in color.online resource. - AutoUni – Schriftenreihe,1401867-3635 ;. - AutoUni – Schriftenreihe,90.

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

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.

ISBN: 9783658269494

Standard No.: 10.1007/978-3-658-26949-4doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

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