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

Unmanned aerial vehicles (UAV), commonly referred to as drones, have raisedincreasing interest in recent years. Search and rescue scenarios where humansin emergency situations need to be quickly found in areas difficult to accessconstitute an important field of application for this technology. Whileresearch efforts have mostly focused on developing video-based solutions forthis task \cite{lopez2017cvemergency}, UAV-embedded audio-based localizationhas received relatively less attention. Though, UAVs equipped with a microphonearray could be of critical help to localize people in emergency situations, inparticular when video sensors are limited by a lack of visual feedback due tobad lighting conditions or obstacles limiting the field of view. This motivatedthe topic of the 6th edition of the IEEE Signal Processing Cup (SP Cup): aUAV-embedded sound source localization challenge for search and rescue. In thisarticle, we share an overview of the IEEE SP Cup experience including thecompetition tasks, participating teams, technical approaches and statistics.

Audio-Based Search and Rescue with a Drone: Highlights from the IEEE Signal Processing Cup 2019 Student Competition