English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Indoor mapping has been gaining importance recently. One of the main applications of indoor maps is personal navigation. For this application, the connection to the outdoor map is very important, as users typically enter the building from outside and navigate to their destination inside. Obtaining this connection, however, is challenging, as the georeferencing of indoor maps is difficult due to the weak or total lack of GPS signal which makes positioning impossible in general. One solution for this problem could be matching indoor and outdoor datasets. Unfortunately, this is difficult due to the very low or non-existing overlap between the indoor and outdoor datasets as well as the differences in different. To overcome this problem, we propose a mobile mapping system, which can seamlessly capture the outdoor and indoor scene. Our prototype system contains three laser scanners, six RGB cameras, two GPS receivers and one IMU. In this paper, we propose an approach to seamlessly map a building and define the requirements for the mapping system. We primarily describe the construction phase of this system. Finally, we evaluate the performance of our mapping system with regard to the defined requirements.

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

EVALUATION OF A MOBILE MULTI-SENSOR SYSTEM FOR SEAMLESS OUTDOOR AND INDOOR MAPPING