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

We consider UAV IoT aerial sensing that delivers multiple VR/AR immersivecommunication sessions to remote users. The UAV swarm is spatially distributedover a wide area of interest, and each UAV captures a viewpoint of the scenebelow it. The remote users are interested in visual immersive navigation ofspecific subareas/scenes of interest, reconstructed on their respective VR/ARdevices from the captured data. The reconstruction quality of the immersivescene representations at the users will depend on the sampling/sensing ratesassociated with each UAV. There is a limit on the aggregate amount of data thatthe UAV swarm can sample and send towards the users, stemming fromphysical/transmission capacity constraints. Similarly, each VR/AR applicationhas minimum reconstruction quality requirements for its own session. We proposean optimization framework that makes three contributions in this context.First, we select the optimal sampling rates to be used by each UAV, such thatthe system and application constraints are not exceed, while the priorityweighted reconstruction quality across all VR/AR sessions is maximized. Then,we design an optimal scalable source-channel signal representation thatinstills into the captured data inherent rate adaptivity, unequal errorprotection, and minimum required redundancy. Finally, the UAV transmissionefficiency is enhanced by the use of small-form-factor multi-beam directionalantennas and optimal power/link scheduling across the scalable signalrepresentation layers. Our experiments demonstrate competitive advantages overconventional methods for visual sensing. This is a first-of-its-kind study ofan emerging application of prospectively broad societal impact.

Aerial UAV-IoT Sensing for Ubiquitous Immersive Communication and Virtual Human Teleportation