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Evidential Combination Operators for Entrapment Prediction in Advanced Driver Assistance Systems
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Distributed Real-Time Systems)ORCID iD: 0000-0003-2973-3112
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Skövde Artificial Intelligence Lab (SAIL))
Advanced Technology and Research, Volvo Group Trucks Technology, Gothenburg, Sweden.
2014 (English)In: Foundations of Intelligent Systems: 21st International Symposium, ISMIS 2014, Roskilde, Denmark, June 25-27, 2014. Proceedings / [ed] Troels Andreasen; Henning Christiansen; Juan-Carlos Cubero; Zbigniew W. Raś, Springer International Publishing Switzerland , 2014, p. 194-203Conference paper, Published paper (Refereed)
Abstract [en]

We propose the use of evidential combination operators for advanced driver assistance systems (ADAS) for vehicles. More specifically, we elaborate on how three different operators, one precise and two imprecise, can be used for the purpose of entrapment prediction, i.e., to estimate when the relative positions and speeds of the surrounding vehicles can potentially become dangerous. We motivate the use of the imprecise operators by their ability to model uncertainty in the underlying sensor information and we provide an example that demonstrates the differences between the operators.

Place, publisher, year, edition, pages
Springer International Publishing Switzerland , 2014. p. 194-203
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 8502
Keywords [en]
Evidential combination operators, advanced driver assistance systems, Bayesian theory, credal sets, Dempster-Shafer theory
National Category
Computer Sciences
Research subject
Technology; Distributed Real-Time Systems; Skövde Artificial Intelligence Lab (SAIL)
Identifiers
URN: urn:nbn:se:his:diva-9707DOI: 10.1007/978-3-319-08326-1_20Scopus ID: 2-s2.0-84903591422ISBN: 978-3-319-08325-4 (print)ISBN: 978-3-319-08326-1 (electronic)OAI: oai:DiVA.org:his-9707DiVA, id: diva2:736000
Conference
21st International Symposium, ISMIS 2014, Roskilde, Denmark, June 25-27, 2014
Funder
Knowledge Foundation, 2010-0320
Note

Springer Cham

This work was supported by the Information Fusion Research Program (University of Skövde, Sweden), in partnership with the Swedish Knowledge Foundation under grant 2010-0320 (URL: http://www.infofusion.se, UMIF project).

Available from: 2014-08-04 Created: 2014-08-04 Last updated: 2023-03-24Bibliographically approved

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Karlsson, AlexanderDahlbom, Anders

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