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 Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

This paper proposes a new and efficient method to estimate 6-DoF ego-states:attitudes and positions in real time. The proposed method extract informationof ego-states by observing a feature called "TROVE" (Three Rays and OneVErtex). TROVE features are projected from structures that are ubiquitous onman-made constructions and objects. The proposed method does not search forconventional corner-type features nor use Perspective-n-Point (PnP) methods,and it achieves a real-time estimation of attitudes and positions up to 60 Hz.The accuracy of attitude estimates can reach 0.3 degrees and that of positionestimates can reach 2 cm in an indoor environment. The result shows a promisingapproach for unmanned robots to localize in an environment that is rich inman-made structures.

TROVE Feature Detection for Online Pose Recovery by Binocular Cameras