@phdthesis{Scheibert2020, type = {Bachelor Thesis}, author = {Oliver Scheibert}, title = {Overcoming the problem of uncertain tracking errors in an AR navigation application}, url = {https://nbn-resolving.org/urn:nbn:de:hbz:832-epub4-15998}, pages = {40}, year = {2020}, abstract = {This thesis proposes four different Augmented Reality (AR) display techniques that can overcome the problem of uncertain tracking errors. Where most other papers focus on limiting the amount of error that a user tracking system generates, this paper pro-poses visualizations that limit their impact instead. For this, four different display techniques have been developed and evaluated using criteria found in related literate. Two of the four proposed solutions consistently ranked better within these criteria. The first, Bending Words, uses a mix between spatially registered information and turn instructions to achieve that result. The second, WIM, mostly relies on context infor-mation of the building instead.}, language = {en} }