Ludwig, BerndBienk, StefanKattenbeck, MarkusMüller, ManuelOhm, ChristinaEinmal, MichaelGlaser, ThomasHackl, MarkusOreskovich, MarkSchubart, Lea2018-01-082018-01-0820132013https://dl.gi.de/handle/20.500.12116/11366With the computational power of modern smartphones constantly increasing, resource intensive applications are becoming feasible to an ever growing extent. In this paper, we report on a research project recently started. Its aim is to develop an application for smartphones that combines pedestrian and public transport navigation including the computation of routes consisting of pedestrian routes and public transport trips and intuitive user guidance at any time of the trip. In particular, we focus on intuitive user guidance based on (LMs) in the surroundings of the user. For this reason, we use collaborative approaches to collect LMs and data about them.Collaborative Landmark miningNADINEPedestrian navigationText/Journal Article1610-1987