@inproceedings{edd628d965fb408ea4d0146af0983dec,
title = "Overcoming location inaccuracies in augmented reality navigation",
abstract = "One of the major opportunities of Augmented Reality (AR) is supporting drivers in wayfinding. In order to correctly display AR visualisations in the environment, accurate global localisation as well as precise mapping of the environment is necessary. As a first step we assessed the positioning error of current Global Navigation Satellite Systems (GNSS) sensors and found that the accuracy of current GNSS sensors is not high enough to correctly position AR visualisations at intersections. Based on these results, we developed a novel visualisation which does not require precise localisation and still provides drivers with the impression that it is part of their environment. We implemented this novel visualisation along with a traditional AR visualisation in a car prototype in order to compare them in a user study. Overall, the novel visualisation was preferred over the traditional visualisation without adding additional workload on drivers or decreasing the usability of the visualisation.",
keywords = "Augmented reality, Automotive, GNSS accuracy, Navigation",
author = "Wiesner, \{Christian A.\} and Gudrun Klinker",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 4th International Conference on Augmented Reality, Virtual Reality and Computer Graphics, SALENTO AVR 2017 ; Conference date: 12-06-2017 Through 15-06-2017",
year = "2017",
doi = "10.1007/978-3-319-60922-5\_29",
language = "English",
isbn = "9783319609218",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "377--388",
editor = "\{De Paolis\}, \{Lucio Tommaso\} and Antonio Mongelli and Patrick Bourdot",
booktitle = "Augmented Reality, Virtual Reality, and Computer Graphics - 4th International Conference, AVR 2017, Proceedings",
}