== Abstract ==

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This thesis is carried out in the context of Advanced Driver Assistance Systems, and especially autonomous vehicles. Its aim is to propose a method to enhance localization of vehicles on roads. I suggests using a camera to detect lane markings, and to match these to a map to extract the corrected position of the vehicle.The thesis is divided in three parts dealing with: the map, the line detector and the evaluation. The map is based on the OpenStreetMap data. The line detector is a based on ridge detection. The results are compared with an Iterative Closest Point algorithm. It also focuses on implementing the components under a real-time constraint. Technologies such as ROS, for synchronization of the data, and CUDA, for parallelization, are used.

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== Original document ==

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The different versions of the original document can be found in:

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* [http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-174890 http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-174890]

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