Driver support in inner city road traffic still presents a considerable challenge for machine vision. Model-based machine vision becomes attractive in this context since it allows one to exploit the knowledge provided by a model in order to select relevant image structures. It requires, however, to make suitable models available to the computer vision system. This contribution shows that a digital road map for a commercial car navigation system can also be exploited, in order to generate road and intersection models which can be used by model-based tracking of related lane boundary markings in video image sequences recorded from within a driving vehicle. Results obtained by an implementation of this approach are presented.
Automatic generation of intersection models from digital maps for vision-based driving on inner city intersections
2000-01-01
870957 byte
Conference paper
Electronic Resource
English
British Library Conference Proceedings | 2000
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