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

In the context of rising traffic automation, the generation of a reliable environmental model plays a key role. By sharing their information, vehicles and infrastructure are able to set up cooperative environmental models of considerably increased accuracy. The GNSS-based localization receives special attention in this regard, since it allows switching from vehicle relative coordinates to absolute and vice versa. While the focus of most related work lies on improving the mean of the GNSS fix, the work at hand analyses its error distribution. Field tests were performed on various scenarios and compared with simulations. Finally, a utility function is proposed, revealing the amount of information carried by every description parameter of the respective

Analysis of the GNSS Error Distribution for the Generation of a Cooperative Environment Model for Advanced Driver Assistance Systems