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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| Autor principal: | |
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| Formato: | Electrónico Capítulo de libro |
| Publicado: |
KIT Scientific Publishing
2016
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| Colección: | Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
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| Materias: | |
| Acceso en línea: | DOAB: download the publication DOAB: description of the publication |
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| Sumario: | 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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| Descripción Física: | 1 electronic resource (XX, 159 p. p.) |
| ISBN: | KSP/1000053685 9783731505082 |
| Acceso: | Open Access |