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Lane keeping of long and big vehicles like trucks often is a matter of only few decimetres. Precise information about the lane delimiting elements is indispensable for a driver assistance system that laterally controls the truck. There are different concepts for a lateral guidance of heavy duty vehicles. One is to equip the road with magnetometers which can be detected by onboard sensors. The main drawbacks are the costs for additional hardware that has to be provided along the pathway and the lack of flexibility once it is installed. Another concept is to detect the lane markings in front of the vehicle with a video camera. Especially in road construction sites this is a difficult task, as there are several lines overruling each other. False detections may be the result. A third idea is to provide an additional, detailed map. The vehicle can localise itself within that map, if certain infrastructure elements like traffic beacons or barriers are detected with e.g. a front facing laser scanner. Such a system has a clear view of the lane on which the vehicle is travelling. Additionally, the controller for lateral guidance highly benefits from the look-ahead capability of a map. The concept of a Road Work Assist is to support the approaching vehicles with a current and detailed map that is passed to the cars and trucks via wireless communication (roadside to vehicle communication: RVC). This paper presents an approach to automatically build a precise map of road construction sites.