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Fahrerabsichtserkennung und Risikobewertung für warnende Fahrerassistenzsysteme

By:

Liebner, Martin [auth]

Material type: Article

ArticleLanguage: German Publication details: KIT Scientific Publishing 2016Description: 1 electronic resource (XX, 159 p. p.)ISBN:

KSP/1000053685
9783731505082

Subject(s):

Online resources:

Summary: To avoid accidents, warning driver assistance systems require an on-line estimation of the current risk of collision. For that, a new method is proposed that - in principle - is able to deal with arbitrary traffic situations. This is achieved by the use of generative models to describe the expected driver behavior. Corresponding user studies in real traffic show promising results even when real time constraints are taken into account.

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Item type	Home library	Collection	Call number	Materials specified	Status	Date due	Barcode
Electronic-Books	OPJGU Sonepat- Campus	E-Books Open Access			Available

Open Access star Unrestricted online access

To avoid accidents, warning driver assistance systems require an on-line estimation of the current risk of collision. For that, a new method is proposed that - in principle - is able to deal with arbitrary traffic situations. This is achieved by the use of generative models to describe the expected driver behavior. Corresponding user studies in real traffic show promising results even when real time constraints are taken into account.

Creative Commons https://creativecommons.org/licenses/by-sa/4.0/ cc https://creativecommons.org/licenses/by-sa/4.0/

German

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