Sensors and Measurements for UAV Safety: An Overview

Eulalia Balestrieri, Pasquale Daponte, Luca De Vito, Francesco Picariello, Ioan Tudosa
<span title="2021-12-10">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
Unmanned aerial vehicles' (UAVs) safety has gained great research interest due to the increase in the number of UAVs in circulation and their applications, which has inevitably also led to an increase in the number of accidents in which these vehicles are involved. The paper presents a classification of UAV safety solutions that can be found in the scientific literature, putting in evidence the fundamental and critical role of sensors and measurements in the field. Proposals from research on
more &raquo; ... h proposed class concerning flight test procedures, in-flight solutions including soft propeller use, fault and damage detection, collision avoidance and safe landing, as well as ground solution including testing and injury and damage quantification measurements are discussed.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s21248253">doi:10.3390/s21248253</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34960347">pmid:34960347</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8704263/">pmcid:PMC8704263</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ybeophkjpfhjrn4i5nizwofjey">fatcat:ybeophkjpfhjrn4i5nizwofjey</a> </span>
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