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

Benefitting from UAVs' characteristics of flexible deployment andcontrollable movement in 3D space, odor source localization with multiple UAVshas been a hot research area in recent years. Considering the limited resourcesand insufficient battery capacities of UAVs, it is necessary to fast locate theodor source with low-complexity computation and minimal interaction undercomplicated environmental states. To this end, we propose a multi-UAVcollaboration based odor source localization (\textit{MUC-OSL}) method, wheresource estimation and UAV navigation are iteratively performed, aiming toaccelerate the searching process and reduce the resource consumption of UAVs.Specifically, in the source estimation phase, we present a collaborativeparticle filter algorithm on the basis of UAVs' cognitive difference andGaussian fitting to improve source estimation accuracy. In the followingnavigation phase, an adaptive path planning algorithm is designed based onPartially Observable Markov Decision Process (POMDP) to distributedly determinethe subsequent flying direction and moving steps of each UAV. The results ofexperiments conducted on two simulation platforms demonstrate that\textit{MUC-OSL} outperforms existing efforts in terms of mean search time andsuccess rate, and effectively reduces the resource consumption of UAVs.

Resource-aware Probability-based Collaborative Odor Source Localization Using Multiple UAVs