Digital maps are considered as an additional sensor in many of the new ADAS, but thesesystems usually require a higher level of accuracy and detail of the maps. Among theimportant information that the maps should contain, we can find the road geometry and trafficsigns. In the first case, it is interesting to use accurate and fast methods for measurement. Inthe paper, a method based on a datalog vehicle is used. Satellite positioning and inertialmeasurements systems data are combined and dynamic behavior of the vehicle body iscorrected measuring the movements of the suspension system. On the other hand, theinformation provided by traffic signs and route-guidance signs is extremely important for safeand successful driving. An automatic system that is capable of extracting and identifying thesesigns automatically would help human drivers enormously; navigation would be easier,allowing them to concentrate on driving the vehicle. A Computer Vision System is used torecognize and classify the different families of traffic signs combining it with GPSinformation to develop detailed and accurate digital maps. This sign recognition can also beused for real time warnings to the driver. Some results of test carried out in real situations areshown.
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