Abstract
The semantic informations extracted from traffic scenes are proposed to enhance the capacity of on-the-shelf navigation systems and made more suitable for autonomous vehicles. The additional classifications of essential traffic informations and estimation of the driving visibility are the basis for making decision to navigation tasks. Furthermore, the semantic structure can be also supporting to the behaviour-based networks and traffic scene interpretations.
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© 2007 Springer-Verlag Berlin Heidelberg
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Kumpakeaw, S., Dillmann, R. (2007). Semantic Road Maps for Autonomous Vehicles. In: Berns, K., Luksch, T. (eds) Autonome Mobile Systeme 2007. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74764-2_32
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DOI: https://doi.org/10.1007/978-3-540-74764-2_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74763-5
Online ISBN: 978-3-540-74764-2
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