Abstract:This paper describes a framework for precise self-localization
using 2D radar scan matching based on a digitalized map. For this purpose, radars, odometers, a gyroscope and a global digital map are combined. Basically estimated ego-motion using motion sensors is improved
using a novel scan matching approach in order to attain globally corrected self-localization results. The matching process is based on map
information, iterative optimization using the Gauß-Helmert-Model and
two novel weighting methods to regi… Show more
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