Dittus, HansjörgMaass, BolkoBolkoMaass2020-03-092020-03-092016-10-28https://media.suub.uni-bremen.de/handle/elib/1147Present and future robotic landing missions to the moon with high landing accuracy requirements need a capability of autonomous position and attitude determination. Optical sensors provide a cheap and robust means of generating image measurements, and lunar craters provide persistent landmarks. This dissertation describes a method that allows inferring a full camera pose from a single image of the lunar surface under a wide variety of illumination conditions and for a previously unkown position and attitude of the camera.deinfo:eu-repo/semantics/openAccessmoonmoon landingspacerobotic explorationcratercrater detectionnavigationoptical navigationgnc620Dissertationurn:nbn:de:gbv:46-00105607-14