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/

Zendy Pro

Presents the zaia usage as premium feature

ZAIA

Presents AI Discovery search usage as a premium feature

AI Discovery

Presents AI Discovery explain and summary usage as a premium feature

Content Analysis

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Presents the pdf analysis as premium feature

PDF Analysis

1500 Top-up

3000 Top-up

Zendy Basic

2500 Top-up

Zendy Unlimited

Presents the access of premium content as premium feature

Premium Content

In this paper we present Bayesian methods for tracking scenarios in which an intrinsic coordinate model is considered and inertial measurements plus occasional position fixes are available. The methods are first tested using synthetic data, giving a comprehensive evaluation as to their performance. Further evaluation on real data also reveals our approaches can be favourable alternatives to existing inertial tracking/navigation models.

Bayesian Fusion of Asynchronous Inertial, Speed and Position Data for Object Tracking