ABSTRACT: In this paper a methodology and an algorithm is presented for the automated extraction of road alignments using GPS/INS navigational data. Centerline geometry assessment is derived in the form of traditional design elements. The core of the proposed algorithm relies on the use of multi-scale correlation analysis (similarity and affinity transformations) and fundamental curve matching techniques that were suitably adapted to adhere the nature of road alignment data. A mobile mapping vehicle comprising a high accuracy multi-sensor navigational system was used to verify the correctness and level of automation of the algorithm as well as the feasibility of the associated software
