Vision-based driver assistance systems are contributing to traffic safety and comfort in a variety of applications. However, due to the limited resolution provided by state-of-the-art cameras, the observable area is very limited. Thus, high resolution image sensors have been developed recently for the automotive area. In this paper, the potential of such camera systems is analyzed on the example of a lane recognition system. In particular, the possible augmentation of the observable area is discussed. However, it is also shown which algorithmic adaptations are necessary in order to benefit from such sensors. For that, a new lane model is proposed which consists of several continuous segments and, thus, is also suitable for higher detection ranges. Finally, first results from a practical implementation of this model are presented and discussed.
Lane recognition using a high resolution camera system
Fahrspurerkennung mittels eines hoch auflösenden Kamerasystem
2009
19 Seiten, 6 Bilder, 11 Quellen
Conference paper
English
Lane Recognition Using a High Resolution Camera System
British Library Conference Proceedings | 2009
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