The paper describes a map generation system, which relies on random individual contributions of GNSS (Global Navigation Satellite Systems) traced movements for outdoor scenarios and traces from a RF-based indoor localiza-tion system. In a typical use case, mobile phone users would join a specific community to contribute their movements along streets, roads or pathways in form of so called journeys. The proposed algorithms presented in this paper are also able to generate a precise map for

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... scenarios, with which certain changes the accuracy of the RF localization system can be mitigated. Neither contributing subscribers nor the map generation need to have anáan´aná priori knowledge of the charted area. The approach presented here comprises the journey recording, the upload process to a common server and the processing algorithm for map generation. The filter mechanisms and adaptive plausibility checks applied to the raw data are key components for the deduction of precise street and movement maps. Summing up, the paper provides a proof of concept of a map generation system for different in-and outdoor application scenarios relying on random individual movements to demonstrate the performance of the algorithmic approach and the adaptablity of the map generator.