Fahrerabsichtserkennung und Risikobewertung für warnende Fahrerassistenzsysteme

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...

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Bibliografske podrobnosti

Glavni avtor:	Liebner, Martin
Format:	Online
Jezik:	nemščina
Izdano:	KIT Scientific Publishing 2021
Teme:	T1-995 Risk Assessment Fahrerverhaltensmodell Risikobewertung Situationsbewusstsein Fahrerabsichtserkennung Dynamisches Bayes'sches NetzDriver Intent Inference Situation Awareness Driver Model Dynamic Bayesian Network thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
Online dostop:	35572
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