Abstract
This paper presents a novel approach for road course estimation using a multilayer laser scanner and a digital road map, which is similar to that used for navigation purposes. If the correct position of the host vehicle on the digital map is known, the road course can be predicted. But because of inaccurate GPS measurements this position is not determined satisfyingly. Therefore, the road course is extracted from the digital map and is matched to an occupancy grid which is a representation of a local map. Based on the correct position as the result of this matching, the road course is extracted from the digital map and can be predicted even in great distances where no sensor measurements exist.
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© 2010 Springer-Verlag Berlin Heidelberg
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Konrad, M., Dietmayer, K. (2010). Road Course Estimation Using Local Maps and Digital Maps. In: Meyer, G., Valldorf, J. (eds) Advanced Microsystems for Automotive Applications 2010. VDI-Buch(). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16362-3_41
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DOI: https://doi.org/10.1007/978-3-642-16362-3_41
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